Pub Date : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00076
Robin Chataut, R. Akl
The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of sub-6 GHz wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency. Although massive MIMO provides enormous benefits, it has to overcome some fundamental implementation issues before it can be implemented for 5G networks. One of the fundamental issues in Massive MIMO systems is uplink signal detection, which becomes inefficient and computationally complex with a larger number of antennas. In this paper, we propose three iterative algorithms to address the issues of uplink signal detection in massive MIMO systems. The simulation results, compared to the traditional detection algorithms, show that the proposed iterative massive MIMO uplink signal detection algorithms are computationally efficient and can achieve near-optimal Bit Error Rate (BER) performance. Additionally, we propose novel hardware architectures for the proposed detection algorithms to identify the required physical components and their interrelationships.
{"title":"Efficient and Low-Complexity Iterative Detectors for 5G Massive MIMO Systems","authors":"Robin Chataut, R. Akl","doi":"10.1109/DCOSS49796.2020.00076","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00076","url":null,"abstract":"The global bandwidth shortage in the wireless communication sector has motivated the study and exploration of sub-6 GHz wireless access technology known as massive Multiple-Input Multiple-Output (MIMO). Massive MIMO groups together antennas at both transmitter and the receiver to provide high spectral and energy efficiency. Although massive MIMO provides enormous benefits, it has to overcome some fundamental implementation issues before it can be implemented for 5G networks. One of the fundamental issues in Massive MIMO systems is uplink signal detection, which becomes inefficient and computationally complex with a larger number of antennas. In this paper, we propose three iterative algorithms to address the issues of uplink signal detection in massive MIMO systems. The simulation results, compared to the traditional detection algorithms, show that the proposed iterative massive MIMO uplink signal detection algorithms are computationally efficient and can achieve near-optimal Bit Error Rate (BER) performance. Additionally, we propose novel hardware architectures for the proposed detection algorithms to identify the required physical components and their interrelationships.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117180349","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00016
M. A. S. Mondol, J. Stankovic
Hand hygiene is crucial in preventing the spread of infections and diseases. Lack of hand hygiene is one of the major reasons for healthcare associated infections (HAIs) in hospitals. Adherence to hand hygiene compliance by the workers in the food business is very important for preventing food-borne illness. In addition to healthcare settings and food businesses, hand washing is also vital for personal well-being. Despite the importance of hand hygiene, people often do not wash hands when necessary. Automatic detection of hand washing activity can facilitate just-in-time alerts when a person forgets to wash hands. Monitoring hand washing practices is also essential in ensuring accountability and providing personalized feedback, particularly in hospitals and food businesses. Inertial sensors available in smart wrist devices can capture hand movements, and so it is feasible to detect hand washing using these devices. However, it is challenging to detect hand washing using wrist wearable sensors since hand movements are associated with a wide range of activities. In this paper, we present HAWAD, a robust solution for hand washing detection using wrist wearable inertial sensors. We leverage the distribution of penultimate layer output of a neural network to detect hand washing from a wide range of activities. Our method reduces false positives by 77% and improves F1-score by 30% compared to the baseline method.
{"title":"HAWAD: Hand Washing Detection using Wrist Wearable Inertial Sensors","authors":"M. A. S. Mondol, J. Stankovic","doi":"10.1109/DCOSS49796.2020.00016","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00016","url":null,"abstract":"Hand hygiene is crucial in preventing the spread of infections and diseases. Lack of hand hygiene is one of the major reasons for healthcare associated infections (HAIs) in hospitals. Adherence to hand hygiene compliance by the workers in the food business is very important for preventing food-borne illness. In addition to healthcare settings and food businesses, hand washing is also vital for personal well-being. Despite the importance of hand hygiene, people often do not wash hands when necessary. Automatic detection of hand washing activity can facilitate just-in-time alerts when a person forgets to wash hands. Monitoring hand washing practices is also essential in ensuring accountability and providing personalized feedback, particularly in hospitals and food businesses. Inertial sensors available in smart wrist devices can capture hand movements, and so it is feasible to detect hand washing using these devices. However, it is challenging to detect hand washing using wrist wearable sensors since hand movements are associated with a wide range of activities. In this paper, we present HAWAD, a robust solution for hand washing detection using wrist wearable inertial sensors. We leverage the distribution of penultimate layer output of a neural network to detect hand washing from a wide range of activities. Our method reduces false positives by 77% and improves F1-score by 30% compared to the baseline method.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121105138","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00075
A. Khalifeh, Husam Abed, Khalid A. Darabkh, S. Chatzichristofis, Z. Zinonos
Data gathering and critical events detection are two essential functionalities for Wireless Sensor Network (WSN). In this paper, we propose double mobile sinks network architecture, where two mobile sink nodes visit the Cluster Heads (CHs) to collect the captured data, which is very energy effective in terms of energy transmission efficiency and reliable compared with the case of having one static sink node. Moreover, the proposed architecture provides a capable scheme for supporting critical and non-critical data, which assures a timely delivery for any critical event to the remote monitoring and decision-making center with minimal interference to the non-critical data. Our proposed architecture shows a superior performance in terms of packets transmission delay, and requires low buffer occupancy for the CHs nodes when compared to related work in the literature. Finally, the paper provides a preliminary hardware design and implementation for the proposed architecture.
{"title":"Double Mobile sinks Architecture for WSN Data Gathering and Critical Events Detection","authors":"A. Khalifeh, Husam Abed, Khalid A. Darabkh, S. Chatzichristofis, Z. Zinonos","doi":"10.1109/DCOSS49796.2020.00075","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00075","url":null,"abstract":"Data gathering and critical events detection are two essential functionalities for Wireless Sensor Network (WSN). In this paper, we propose double mobile sinks network architecture, where two mobile sink nodes visit the Cluster Heads (CHs) to collect the captured data, which is very energy effective in terms of energy transmission efficiency and reliable compared with the case of having one static sink node. Moreover, the proposed architecture provides a capable scheme for supporting critical and non-critical data, which assures a timely delivery for any critical event to the remote monitoring and decision-making center with minimal interference to the non-critical data. Our proposed architecture shows a superior performance in terms of packets transmission delay, and requires low buffer occupancy for the CHs nodes when compared to related work in the literature. Finally, the paper provides a preliminary hardware design and implementation for the proposed architecture.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125405238","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00037
Yan V. Brandão, Lucas M. De Souza, Thiago S. Gomides, R. E. Grande, F. S. Souza, D. Guidoni
The growth in the number of traffic accidents has become a cause for concern in urban centers. As a result of the increase in population in large cities and the number of vehicles, the consequences of accidents and congestion can be even more significant, considering the impacts on the economy, environment and people’s quality of life. Therefore, aiming to minimize these impacts, we present ALIVE, a distributed and Vanet-based solution that reduces congestion caused by different sources and, especially, from accident sources, contributing to efficient urban mobility in smart cities. The solution performs the detection of accidents and the dissemination of warning messages in multiple hops. Besides, the system can share the road traffic information with the nearby streets to improve traffic efficiency. We evaluated the proposed solution with PANDORA and NRR Traffic Management solutions. Simulation results indicate that the proposed solution reduces the average travel time, time lost, and the number of transmitted messages.
{"title":"A Multi-layer and Vanet-based Approach to Improve Accident Management in Smart Cities","authors":"Yan V. Brandão, Lucas M. De Souza, Thiago S. Gomides, R. E. Grande, F. S. Souza, D. Guidoni","doi":"10.1109/DCOSS49796.2020.00037","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00037","url":null,"abstract":"The growth in the number of traffic accidents has become a cause for concern in urban centers. As a result of the increase in population in large cities and the number of vehicles, the consequences of accidents and congestion can be even more significant, considering the impacts on the economy, environment and people’s quality of life. Therefore, aiming to minimize these impacts, we present ALIVE, a distributed and Vanet-based solution that reduces congestion caused by different sources and, especially, from accident sources, contributing to efficient urban mobility in smart cities. The solution performs the detection of accidents and the dissemination of warning messages in multiple hops. Besides, the system can share the road traffic information with the nearby streets to improve traffic efficiency. We evaluated the proposed solution with PANDORA and NRR Traffic Management solutions. Simulation results indicate that the proposed solution reduces the average travel time, time lost, and the number of transmitted messages.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125554734","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00039
Jensen Hung, R. E. Grande
Vehicular Clouds heavily rely on the underlying Vehicular Networks to discover, announce, and exchange services and resources. The assembly and control of such clouds depend upon reliable and efficient data dissemination among vehicles and roadside units. Dissemination allows for critical information to be spread efficiently and widely through the VANETs. It is, therefore, imperative to create a dissemination algorithm that reduces the number of redundant messages. The biggest concern is to define an effective and efficient data dissemination algorithm that can be used in critical areas in traffic like intersections. Several issues must be considered in dense vehicular regions, such as broadcast storms and redundancy. Several approaches have already shown a reduction in the redundancy and overhead. Still, they may need to improve on the variance of a dynamically changing topology and exponential growth rate of messages sent. These approaches include a speed adaptive probabilistic dissemination, which is a lightweight approach. This work focuses on controlling the dissemination pace by applying timers and limiting forwarding messages on the speed adaptive broadcast algorithm to reduce overhead and redundancy while ensuring the broadcast is transmitted evenly. The timers are useful in high-density traffic and conclusively showed a broadcast overhead reduction.
{"title":"Timer-based Decision in Speed-Variant Data Forwarding for VANETs","authors":"Jensen Hung, R. E. Grande","doi":"10.1109/DCOSS49796.2020.00039","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00039","url":null,"abstract":"Vehicular Clouds heavily rely on the underlying Vehicular Networks to discover, announce, and exchange services and resources. The assembly and control of such clouds depend upon reliable and efficient data dissemination among vehicles and roadside units. Dissemination allows for critical information to be spread efficiently and widely through the VANETs. It is, therefore, imperative to create a dissemination algorithm that reduces the number of redundant messages. The biggest concern is to define an effective and efficient data dissemination algorithm that can be used in critical areas in traffic like intersections. Several issues must be considered in dense vehicular regions, such as broadcast storms and redundancy. Several approaches have already shown a reduction in the redundancy and overhead. Still, they may need to improve on the variance of a dynamically changing topology and exponential growth rate of messages sent. These approaches include a speed adaptive probabilistic dissemination, which is a lightweight approach. This work focuses on controlling the dissemination pace by applying timers and limiting forwarding messages on the speed adaptive broadcast algorithm to reduce overhead and redundancy while ensuring the broadcast is transmitted evenly. The timers are useful in high-density traffic and conclusively showed a broadcast overhead reduction.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115177762","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 : 2020-05-01DOI: 10.1109/dcoss49796.2020.00001
{"title":"DCOSS 2020 Commentary","authors":"","doi":"10.1109/dcoss49796.2020.00001","DOIUrl":"https://doi.org/10.1109/dcoss49796.2020.00001","url":null,"abstract":"","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"28 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116718589","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00041
Gabriel R. Diniz, F. D. Cunha, A. Loureiro
The increase in the vehicular fleet in the last decade has caused several problems in urban scenarios. Modeling VANETs as graphs enables us to apply graph theory algorithms, allowing a more complex and deeper analysis of reality. In this work, we identify three different approaches to model vehicular networks and analyze two real well-know large-scale traces from Rome and San Francisco city. We perform analysis on the network aspect and in the vehicular aspect as an individual node. This analysis was made to verify which one can achieve the highest reliability and accuracy.
{"title":"Improving the Vehicular Mobility Analysis Using Time-Varying Graphs","authors":"Gabriel R. Diniz, F. D. Cunha, A. Loureiro","doi":"10.1109/DCOSS49796.2020.00041","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00041","url":null,"abstract":"The increase in the vehicular fleet in the last decade has caused several problems in urban scenarios. Modeling VANETs as graphs enables us to apply graph theory algorithms, allowing a more complex and deeper analysis of reality. In this work, we identify three different approaches to model vehicular networks and analyze two real well-know large-scale traces from Rome and San Francisco city. We perform analysis on the network aspect and in the vehicular aspect as an individual node. This analysis was made to verify which one can achieve the highest reliability and accuracy.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129955996","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00025
Laura Harms, O. Landsiedel
Wireless Sensor-Actuator Networks (WSANs) are an important driver for the Industrial Internet of Things (IIoT) as they easily retrofit existing industrial infrastructure. Industrial applications require these networks to provide stable communication with high reliability and guaranteed low latency. A common way is using a central scheduler to plan transmissions and routes so that all packets are delivered before a deadline. However, existing centralized schedulers are only able to achieve high reliability in the absence of interference. This limitation lowers the feasibility of using centralized schedulers in most environments susceptible to interference.This paper addresses the challenge of stable, centrally scheduled communication in low-power wireless networks susceptible to interference. We introduce MASTER, a centralized scheduler and router, for IEEE 802.15.4 TSCH (Time-Slotted Channel Hopping). MASTER uses Sliding Windows, a novel transmission strategy, which builds on flow-based retransmissions instead of link-based ones. We show in our experimental evaluation that MASTER with Sliding Windows achieves routing and scheduling stability for over 24 hours with end-to-end reliability of over 99.6%. Moreover, we show that MASTER outperforms Orchestra, a state-of-the-art autonomous scheduler, in terms of latency by a factor of 8 while achieving similar reliability under a slight duty-cycle increase.
{"title":"MASTER: Long-Term Stable Routing and Scheduling in Low-Power Wireless Networks","authors":"Laura Harms, O. Landsiedel","doi":"10.1109/DCOSS49796.2020.00025","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00025","url":null,"abstract":"Wireless Sensor-Actuator Networks (WSANs) are an important driver for the Industrial Internet of Things (IIoT) as they easily retrofit existing industrial infrastructure. Industrial applications require these networks to provide stable communication with high reliability and guaranteed low latency. A common way is using a central scheduler to plan transmissions and routes so that all packets are delivered before a deadline. However, existing centralized schedulers are only able to achieve high reliability in the absence of interference. This limitation lowers the feasibility of using centralized schedulers in most environments susceptible to interference.This paper addresses the challenge of stable, centrally scheduled communication in low-power wireless networks susceptible to interference. We introduce MASTER, a centralized scheduler and router, for IEEE 802.15.4 TSCH (Time-Slotted Channel Hopping). MASTER uses Sliding Windows, a novel transmission strategy, which builds on flow-based retransmissions instead of link-based ones. We show in our experimental evaluation that MASTER with Sliding Windows achieves routing and scheduling stability for over 24 hours with end-to-end reliability of over 99.6%. Moreover, we show that MASTER outperforms Orchestra, a state-of-the-art autonomous scheduler, in terms of latency by a factor of 8 while achieving similar reliability under a slight duty-cycle increase.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128691528","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00062
Murat Mülayim, Arda Goknil, K. Yıldırım
Batteryless embedded devices rely only on ambient energy harvesting that enables stand-alone and sustainable applications for the Internet of Things. These devices perform computation, sensing, and communication when the harvested ambient energy in their energy reservoir is sufficient; they die abruptly when the energy drains out completely. This kind of operation, the so-called intermittent execution, dictates a task-based programming model for the development and implementation of intermittent applications. However, today’s task-based intermittent programs are tightly-coupled to the underlying run-time environments. This makes their debugging and testing difficult before deploying them into the target platform. To remedy this, we present Taskify, a tool that enables engineers to write and debug task-based intermittent programs in TaskDSL, i.e., a domain-specific language we designed for the development of intermittent programs on any general-purpose computer. Taskify automatically transforms these programs into C programs that can be linked to the underlying run-time environment and deployed into the target platform. Taskify is implemented as an Eclipse plugin. It has been evaluated on three intermittent applications.
{"title":"Taskify: An Integrated Development Environment to Develop and Debug Intermittent Software for the Batteryless Internet of Things","authors":"Murat Mülayim, Arda Goknil, K. Yıldırım","doi":"10.1109/DCOSS49796.2020.00062","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00062","url":null,"abstract":"Batteryless embedded devices rely only on ambient energy harvesting that enables stand-alone and sustainable applications for the Internet of Things. These devices perform computation, sensing, and communication when the harvested ambient energy in their energy reservoir is sufficient; they die abruptly when the energy drains out completely. This kind of operation, the so-called intermittent execution, dictates a task-based programming model for the development and implementation of intermittent applications. However, today’s task-based intermittent programs are tightly-coupled to the underlying run-time environments. This makes their debugging and testing difficult before deploying them into the target platform. To remedy this, we present Taskify, a tool that enables engineers to write and debug task-based intermittent programs in TaskDSL, i.e., a domain-specific language we designed for the development of intermittent programs on any general-purpose computer. Taskify automatically transforms these programs into C programs that can be linked to the underlying run-time environment and deployed into the target platform. Taskify is implemented as an Eclipse plugin. It has been evaluated on three intermittent applications.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129885921","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 : 2020-05-01DOI: 10.1109/DCOSS49796.2020.00047
Payam Rahimi, Nasir D. Khan, C. Chrysostomou, V. Vassiliou, B. Nazir
In this work, we present an authentication mechanism based on Blockchain to provide a secure communication for wireless communications assisted UAV sensing system for maritime IoT critical applications, by deploying a private Blockchain network that is connected to a fusion center (FC) in the terrestrial area. The received packets would be validated by the FC, based on the stored IDs on the Blockchain, to avoid intrusion into the network. We further analyze the effect of Blockchain on the network performance in terms of delay and throughput to demonstrate the suitability and effectiveness of the proposed authentication mechanism.
{"title":"A Secure Communication for Maritime IoT Applications Using Blockchain Technology","authors":"Payam Rahimi, Nasir D. Khan, C. Chrysostomou, V. Vassiliou, B. Nazir","doi":"10.1109/DCOSS49796.2020.00047","DOIUrl":"https://doi.org/10.1109/DCOSS49796.2020.00047","url":null,"abstract":"In this work, we present an authentication mechanism based on Blockchain to provide a secure communication for wireless communications assisted UAV sensing system for maritime IoT critical applications, by deploying a private Blockchain network that is connected to a fusion center (FC) in the terrestrial area. The received packets would be validated by the FC, based on the stored IDs on the Blockchain, to avoid intrusion into the network. We further analyze the effect of Blockchain on the network performance in terms of delay and throughput to demonstrate the suitability and effectiveness of the proposed authentication mechanism.","PeriodicalId":198837,"journal":{"name":"2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125609479","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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