Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071759
Muhammad Usman, Kashif Ahmad, M. Qaraqe
The concerns for a healthier diet are increasing day by day, especially in diabetics wherein the aim of healthier diet can only be achieved by keeping a track of daily food intake and glucose-level. As a consequence, there is an ever-increasing need of automatic tools able to help diabetics to manage their diet and also help physicians to better analyze the effects of various types of food on the glucose-level of diabetics. In this paper, we propose an intelligent food recognition and tracking system for diabetics, which is potentially an essential part of a mobile application that we propose to couple food intake with the blood glucose-level using glucose measuring sensors. Being an essential component of the application, for food recognition we rely on several feature extraction and classification techniques individually and jointly utilized using an early and two different late fusion techniques, namely (i) Particle Swarm Optimization (PSO) based fusion and (iii) simple averaging. Moreover, we also evaluate the performance of several deep features. In addition, we collect a large-scale dataset containing images from several types of local Middle-Eastern food, which is intended to become a powerful support tool for future research in the domain.
{"title":"A Food Recognition and Tracking System for Diabetics in the Middle East","authors":"Muhammad Usman, Kashif Ahmad, M. Qaraqe","doi":"10.1109/ISC246665.2019.9071759","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071759","url":null,"abstract":"The concerns for a healthier diet are increasing day by day, especially in diabetics wherein the aim of healthier diet can only be achieved by keeping a track of daily food intake and glucose-level. As a consequence, there is an ever-increasing need of automatic tools able to help diabetics to manage their diet and also help physicians to better analyze the effects of various types of food on the glucose-level of diabetics. In this paper, we propose an intelligent food recognition and tracking system for diabetics, which is potentially an essential part of a mobile application that we propose to couple food intake with the blood glucose-level using glucose measuring sensors. Being an essential component of the application, for food recognition we rely on several feature extraction and classification techniques individually and jointly utilized using an early and two different late fusion techniques, namely (i) Particle Swarm Optimization (PSO) based fusion and (iii) simple averaging. Moreover, we also evaluate the performance of several deep features. In addition, we collect a large-scale dataset containing images from several types of local Middle-Eastern food, which is intended to become a powerful support tool for future research in the domain.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130013953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071791
C. Metrot, R. Darazi, A. Benslimane, E. Doumith
Sudden Cardiac Arrest (SCA) is a condition in which the heart suddenly and unexpectedly stops beating. SCA usually causes death if it is not treated within minutes. A defibrillator is a device that can return the disorganized heart back into a normal rhythm by delivering a life-saving shock, while taking into consideration the critical time before complete damage of the brain occurs.To minimize the out-of-hospital SCA consequences and optimize the coverage of the population, placement and access to Automated External Defibrillator (AED) in mission critical intervention, are the main objectives of our paper. The fast access to the nearest AED within a short delay is very crucial and important for increasing the survival rates. For this reason, our study in this paper consists in developing two new methods for the deployment of AEDs in a given area in order to cover the maximum number of existing population during different times of the day. We propose two new techniques for optimizing the coverage, inspired from the Maximal Covering Location Problem (MCLP) method called Real-Time to Destination MCLP (RTDMCLP) and Dynamic Real-Time to Destination MCLP (DRTDMCLP). Those two techniques show an improved result in term of covered population comparing to the MCLP method.
{"title":"Dynamic AED Allocation and Reallocation for SCA Rescue Using Modified MCLP","authors":"C. Metrot, R. Darazi, A. Benslimane, E. Doumith","doi":"10.1109/ISC246665.2019.9071791","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071791","url":null,"abstract":"Sudden Cardiac Arrest (SCA) is a condition in which the heart suddenly and unexpectedly stops beating. SCA usually causes death if it is not treated within minutes. A defibrillator is a device that can return the disorganized heart back into a normal rhythm by delivering a life-saving shock, while taking into consideration the critical time before complete damage of the brain occurs.To minimize the out-of-hospital SCA consequences and optimize the coverage of the population, placement and access to Automated External Defibrillator (AED) in mission critical intervention, are the main objectives of our paper. The fast access to the nearest AED within a short delay is very crucial and important for increasing the survival rates. For this reason, our study in this paper consists in developing two new methods for the deployment of AEDs in a given area in order to cover the maximum number of existing population during different times of the day. We propose two new techniques for optimizing the coverage, inspired from the Maximal Covering Location Problem (MCLP) method called Real-Time to Destination MCLP (RTDMCLP) and Dynamic Real-Time to Destination MCLP (DRTDMCLP). Those two techniques show an improved result in term of covered population comparing to the MCLP method.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124417940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071710
Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, A. Hayar
Spectrum sensing aims at searching and finding the unused frequency bands in specific radio spectrum. It monitors the frequency bands to detect the activity of primary/licensed users and decide if secondary users can use these bands or not. In order to improve the efficiency of spectrum sensing in wideband cognitive radio networks, compressive sensing framework has been recommended and studied in many papers since it helps the system to get better and faster results using the sparse structure of the radio spectrum. Therefore, this paper represents an in-depth survey of the best requirements of compressive sensing and spectrum sensing techniques for robust combination and effective solution for wideband cognitive radio networks. It also provides examples of innovative applications of compressive spectrum sensing including IoT, smart city and 5th generation of mobile networks. To sum up some challenges and research directions related to compressive spectrum sensing technique are given at the end.
{"title":"A Survey on Compressive Spectrum Sensing for Cognitive Radio Networks","authors":"Salma Benazzouza, Mohammed Ridouani, Fatima Salahdine, A. Hayar","doi":"10.1109/ISC246665.2019.9071710","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071710","url":null,"abstract":"Spectrum sensing aims at searching and finding the unused frequency bands in specific radio spectrum. It monitors the frequency bands to detect the activity of primary/licensed users and decide if secondary users can use these bands or not. In order to improve the efficiency of spectrum sensing in wideband cognitive radio networks, compressive sensing framework has been recommended and studied in many papers since it helps the system to get better and faster results using the sparse structure of the radio spectrum. Therefore, this paper represents an in-depth survey of the best requirements of compressive sensing and spectrum sensing techniques for robust combination and effective solution for wideband cognitive radio networks. It also provides examples of innovative applications of compressive spectrum sensing including IoT, smart city and 5th generation of mobile networks. To sum up some challenges and research directions related to compressive spectrum sensing technique are given at the end.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123666235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071776
Jiabin Wei, Shiyu Sun
The clusters of stores and shops in the city are the main spatial carrier for commercial activities. For urban planners, a deep and clear understanding of the present aggregating features and the commercial activities is the fundamental premise for formulating a rational and promising planning. Nowadays, the volunteered geographic information, like POIs, provides researchers a more complete and realistic data source to analyse the commercial agglomerations. Yet, few of the researches pay attention to the scale of the commercial agglomerations while the majority of researches use density estimation method to visualize and describe the commercial agglomerations of different activity types at same scale. This paper aims to propose a modified DBSCAN method to analyse the distribution structures of commercial activity clusters through multiple scales, so as to find the optimum parameters and minPts to identify the unique aggregating features for each type of activity. The proposed DBSCAN is able to determine the global minimum points (minPts) automatically by detecting the “elbow” of the maximum cluster groups change curve through a series combination of and minPts. With the global optimum minPts, this modified DBSCAN will further find optimum from where the commercial activities form stable aggregations. In this paper, the commercial activities in Milan is taken as an example. Overall, 149234 POIs from the Milan Bureau of Industry and Commerce and Google place service are collected and be further classified into 25 categories. The result of the analysis shows that 1) commercial activities show five different types of spatial patterns: central aggregation pattern, ring around center pattern, high-density aggregation distribution, disperse distribution pattern and hierarchical distribution pattern. 2) Bars and clothing stores have the highest aggregating density of 2.7 POIs per hectare, while takeaway and repair activities have the lowest density. 3) Beauty stores and health service have the smallest unit cluster size around 3ha, the supermarkets and fuel stations have largest unit cluster size. 4) the spatial shapes of different activity agglomeration areas are varied.
{"title":"Commercial Activity Cluster Recognition with Modified DBSCAN Algorithm: A Case Study of Milan","authors":"Jiabin Wei, Shiyu Sun","doi":"10.1109/ISC246665.2019.9071776","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071776","url":null,"abstract":"The clusters of stores and shops in the city are the main spatial carrier for commercial activities. For urban planners, a deep and clear understanding of the present aggregating features and the commercial activities is the fundamental premise for formulating a rational and promising planning. Nowadays, the volunteered geographic information, like POIs, provides researchers a more complete and realistic data source to analyse the commercial agglomerations. Yet, few of the researches pay attention to the scale of the commercial agglomerations while the majority of researches use density estimation method to visualize and describe the commercial agglomerations of different activity types at same scale. This paper aims to propose a modified DBSCAN method to analyse the distribution structures of commercial activity clusters through multiple scales, so as to find the optimum parameters and minPts to identify the unique aggregating features for each type of activity. The proposed DBSCAN is able to determine the global minimum points (minPts) automatically by detecting the “elbow” of the maximum cluster groups change curve through a series combination of and minPts. With the global optimum minPts, this modified DBSCAN will further find optimum from where the commercial activities form stable aggregations. In this paper, the commercial activities in Milan is taken as an example. Overall, 149234 POIs from the Milan Bureau of Industry and Commerce and Google place service are collected and be further classified into 25 categories. The result of the analysis shows that 1) commercial activities show five different types of spatial patterns: central aggregation pattern, ring around center pattern, high-density aggregation distribution, disperse distribution pattern and hierarchical distribution pattern. 2) Bars and clothing stores have the highest aggregating density of 2.7 POIs per hectare, while takeaway and repair activities have the lowest density. 3) Beauty stores and health service have the smallest unit cluster size around 3ha, the supermarkets and fuel stations have largest unit cluster size. 4) the spatial shapes of different activity agglomeration areas are varied.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124536742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071778
Lina Patrica Zapata, Marco Flores, Víctor M. Larios-Rosillo, Ma. Roció Maciel Arellano, E. A. Antúnez
The present work proposes a model for estimation of users demand in the public transportation network of the South-Eastern corridor of Quito-Ecuador typified in Origin-Destination Matrix (ODM), from the people account who aboard and descend from each bus that arrives at the different stops or stations. We propose a mathematical model, knowing the direct flows and destinations of passengers and the route matrix. We solve the system applying Bayesian inference, using the Monte Carlo technique which generates a large number of random samples that are accepted or rejected according to the Metropolis-Hasting criterion. The resulting value is the arithmetic mean value of all accepted samples. We validate the model through the analysis of the convergence of results, patterns of behavior of the origin-destination pairs and the sensitivity of the results to variations in the values of the links and destinations. Finally, we apply it to the South-East corridor network of Quito city, as particular case study.
{"title":"Estimation of people flow in public transportation network through the origin-destination problem for the South-Eastern corridor of Quito city in the smart cities context","authors":"Lina Patrica Zapata, Marco Flores, Víctor M. Larios-Rosillo, Ma. Roció Maciel Arellano, E. A. Antúnez","doi":"10.1109/ISC246665.2019.9071778","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071778","url":null,"abstract":"The present work proposes a model for estimation of users demand in the public transportation network of the South-Eastern corridor of Quito-Ecuador typified in Origin-Destination Matrix (ODM), from the people account who aboard and descend from each bus that arrives at the different stops or stations. We propose a mathematical model, knowing the direct flows and destinations of passengers and the route matrix. We solve the system applying Bayesian inference, using the Monte Carlo technique which generates a large number of random samples that are accepted or rejected according to the Metropolis-Hasting criterion. The resulting value is the arithmetic mean value of all accepted samples. We validate the model through the analysis of the convergence of results, patterns of behavior of the origin-destination pairs and the sensitivity of the results to variations in the values of the links and destinations. Finally, we apply it to the South-East corridor network of Quito city, as particular case study.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130626829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071704
Q. Gao, S. Ekin, K. Qaraqe, E. Serpedin
Advances in visible light communication (VLC) technology and its smart-city applications have gained great interest, e.g., indoor light-fidelity (LiFi) and outdoor vehicle to vehicle (V2V). In order to fully explore the benefits of VLC under diverse channel/noise environments, it is important to schedule power efficiently so that the capacity is maximized or the error rate is minimized. We propose efficient optical power allocation algorithms for multi-channel single-user VLC capacity bounds maximization and error rate minimization for multi-user VLC with the existence of signal-dependent noise (SDN) for potential city applications. It is pointed out in this paper that the wellknown water-filling algorithm and its generalizations do not apply straightforwardly to the capacity bound optimization for VLC and other communication systems based on the intensity modulation and direct detection (IM/DD).
{"title":"Capacity Maximizing Power Allocation for Multi-Channel Visible Light Communications","authors":"Q. Gao, S. Ekin, K. Qaraqe, E. Serpedin","doi":"10.1109/ISC246665.2019.9071704","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071704","url":null,"abstract":"Advances in visible light communication (VLC) technology and its smart-city applications have gained great interest, e.g., indoor light-fidelity (LiFi) and outdoor vehicle to vehicle (V2V). In order to fully explore the benefits of VLC under diverse channel/noise environments, it is important to schedule power efficiently so that the capacity is maximized or the error rate is minimized. We propose efficient optical power allocation algorithms for multi-channel single-user VLC capacity bounds maximization and error rate minimization for multi-user VLC with the existence of signal-dependent noise (SDN) for potential city applications. It is pointed out in this paper that the wellknown water-filling algorithm and its generalizations do not apply straightforwardly to the capacity bound optimization for VLC and other communication systems based on the intensity modulation and direct detection (IM/DD).","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122274788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071698
A. Musa, B. Paul
This work demonstrates wireless transmission over the Frequency Modulation (FM) broadcast band using piezoelectric energy harvesting. In some operations, usually covert or hidden, recording devices are installed in remote areas to pick up ambient human voice signals and record them. However, such voice signals are only recorded and cannot be listened to in real-time. This problem can be remedied using a remote listening device based on FM transmitter operations comprising a microphone (for receiving the ambient voice signals), FM transmitter device, and a microcontroller device such as the ATmega328P. In order to have the remotely installed system to function for extended periods of time, a piezoelectric energy harvester is integrated with the transmitter device. Thus, powering the device from the environmental vibrations or stresses making it suitable for high vibration environments like vehicles, machine rooms, air conditioner sets, appliances with rotating parts such as fans. etc. The result shows that the piezoelectric harvester can be suitable to power the FM transmitter efficiently.
{"title":"Design of an FM Transmitter Powered By Piezoelectric Energy","authors":"A. Musa, B. Paul","doi":"10.1109/ISC246665.2019.9071698","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071698","url":null,"abstract":"This work demonstrates wireless transmission over the Frequency Modulation (FM) broadcast band using piezoelectric energy harvesting. In some operations, usually covert or hidden, recording devices are installed in remote areas to pick up ambient human voice signals and record them. However, such voice signals are only recorded and cannot be listened to in real-time. This problem can be remedied using a remote listening device based on FM transmitter operations comprising a microphone (for receiving the ambient voice signals), FM transmitter device, and a microcontroller device such as the ATmega328P. In order to have the remotely installed system to function for extended periods of time, a piezoelectric energy harvester is integrated with the transmitter device. Thus, powering the device from the environmental vibrations or stresses making it suitable for high vibration environments like vehicles, machine rooms, air conditioner sets, appliances with rotating parts such as fans. etc. The result shows that the piezoelectric harvester can be suitable to power the FM transmitter efficiently.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123974091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071652
Wassim Youssef, A. O. Zaid, Mohamed Sami, M. H. Kammoun
In this work, we address the problem of logistic management of Implantable Medical Devices (IMD) at hospital centers in Tunisia. Our goal is to propose a radio frequency identification (RFID) based framework to secure and automate the management of IMD between the pharmacy and the care units. The RFID technology has been widely used in various fields, including the health care sector, to quickly identify moving and/or remote objects. Yet, to date there is no recognized RFID based system appropriate for the purpose of IMD management. For this reason and due to the pressing need to improve safety and traceability in public health care environment, we propose a tailored solution to adapt RFID technology to the logistic management of IMD at La Rabta university health centre which is the prominent cornerstone of the health sector in Tunisia. This solution may be considered as a prototype that might be extended and deployed either inside or outside the region of Tunis.
{"title":"RFID-based System for Secure Logistic Management of Implantable Medical Devices in Tunisian Health Centres","authors":"Wassim Youssef, A. O. Zaid, Mohamed Sami, M. H. Kammoun","doi":"10.1109/ISC246665.2019.9071652","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071652","url":null,"abstract":"In this work, we address the problem of logistic management of Implantable Medical Devices (IMD) at hospital centers in Tunisia. Our goal is to propose a radio frequency identification (RFID) based framework to secure and automate the management of IMD between the pharmacy and the care units. The RFID technology has been widely used in various fields, including the health care sector, to quickly identify moving and/or remote objects. Yet, to date there is no recognized RFID based system appropriate for the purpose of IMD management. For this reason and due to the pressing need to improve safety and traceability in public health care environment, we propose a tailored solution to adapt RFID technology to the logistic management of IMD at La Rabta university health centre which is the prominent cornerstone of the health sector in Tunisia. This solution may be considered as a prototype that might be extended and deployed either inside or outside the region of Tunis.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128869350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071641
Guéréguin Der Sylvestre Sidibé, M. Servajean, M. Misson
In data collection area, wireless sensor networks are usually used for their ease of deployment and auto-configuration capabilities. In this paper, we consider a star topology, where the central node is equipped with a switched-beam antenna, while other nodes are using omnidirectional antennas. This configuration enables enhancing the network performance without increasing the cost and complexity of the deployment, and may be suitable for some emerging applications like smart home, smart parking, etc. When directional antennas are used, some common methods like MAC (Medium Access Control) protocols, routing protocols and neighbor discovery protocols need to redesigned. In this work, we propose a neighbor discovery method based on Aloha approach that helps the sink node to discover its neighborhood. Our discovery method uses idle slots reduction mechanism and exploits collaboration between nodes and the sink in order to speed up the discovery process. Collaboration occurs during discovery process when a node shares with the sink its local knowledge of its own neighborhood. We implemented our protocol on contiki OS, and performed several simulations on Cooja. We compared the proposed protocol with a state of the art protocol adapted to work with our network configuration. The results show that our protocol improves the discovery delay by about 25% compared with the PND protocol chosen as reference.
{"title":"Aloha-like Neighbor Discovery in a WSN Star Topology using a Sink-side Beam Antenna","authors":"Guéréguin Der Sylvestre Sidibé, M. Servajean, M. Misson","doi":"10.1109/ISC246665.2019.9071641","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071641","url":null,"abstract":"In data collection area, wireless sensor networks are usually used for their ease of deployment and auto-configuration capabilities. In this paper, we consider a star topology, where the central node is equipped with a switched-beam antenna, while other nodes are using omnidirectional antennas. This configuration enables enhancing the network performance without increasing the cost and complexity of the deployment, and may be suitable for some emerging applications like smart home, smart parking, etc. When directional antennas are used, some common methods like MAC (Medium Access Control) protocols, routing protocols and neighbor discovery protocols need to redesigned. In this work, we propose a neighbor discovery method based on Aloha approach that helps the sink node to discover its neighborhood. Our discovery method uses idle slots reduction mechanism and exploits collaboration between nodes and the sink in order to speed up the discovery process. Collaboration occurs during discovery process when a node shares with the sink its local knowledge of its own neighborhood. We implemented our protocol on contiki OS, and performed several simulations on Cooja. We compared the proposed protocol with a state of the art protocol adapted to work with our network configuration. The results show that our protocol improves the discovery delay by about 25% compared with the PND protocol chosen as reference.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128112083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071772
Eladio Montero Porras, B. Lievens, R. Heyman, P. Ballon
Our understanding of how a city works is changing as more and more activities and interactions of citizens with and within the city are being tracked. It is estimated that by 2020, 1.7MB of data will be created every second for each person [1]. These data are created by different actors, including businesses that collect information to fuel their services. Cities can enrich the understanding of their citizen dynamics and improve data-driven decision-making using these data. However, cities do not have the resources or skills (yet) to handle and analyze this new type of information. In this paper, we propose a methodology for cities to map and identify different sources of existing data, in order to give them a new meaning in the urban planning context. Also, we present our empirical experience with the methodology in solving issues at the city management level. Results show that cities can not only gather new insights by exploring existing datasets from businesses but also give them a new purpose to support and evaluate decision-making on the urban space and its development.
{"title":"Performing smart cities research based on existing datasets: a methodology framework","authors":"Eladio Montero Porras, B. Lievens, R. Heyman, P. Ballon","doi":"10.1109/ISC246665.2019.9071772","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071772","url":null,"abstract":"Our understanding of how a city works is changing as more and more activities and interactions of citizens with and within the city are being tracked. It is estimated that by 2020, 1.7MB of data will be created every second for each person [1]. These data are created by different actors, including businesses that collect information to fuel their services. Cities can enrich the understanding of their citizen dynamics and improve data-driven decision-making using these data. However, cities do not have the resources or skills (yet) to handle and analyze this new type of information. In this paper, we propose a methodology for cities to map and identify different sources of existing data, in order to give them a new meaning in the urban planning context. Also, we present our empirical experience with the methodology in solving issues at the city management level. Results show that cities can not only gather new insights by exploring existing datasets from businesses but also give them a new purpose to support and evaluate decision-making on the urban space and its development.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115965316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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