Pub Date : 2019-08-01DOI: 10.1109/FiCloud.2019.00042
G. Astudillo, M. Kadoch, B. Abdulrazak
The Internet of Things (IoT) consists of integrating sensors into ordinary objects that are connected to the Internet across wired and wireless networks. Due to its greater coverage and low upfront investment, wireless networks have the potential to allow the massive and fast deployment of IoT. In recent years, relay wireless systems equipped with directional antennas have been identified as a robust technology that can boost the performance of IoT networks in terms of coverage, connectivity, and capacity. Contrary to omnidirectional antennas, which can radiate energy in all directions, directional antennas can focus the energy in a specific direction, extending the coverage range for a given power level. In this paper, we propose a method to model the energy consumed by the relaying nodes when directional antennas are used in the IoT wireless network. This study has demonstrated that by adapting the beamwidth of the antennas, nodes can reach furthest nodes and consequently, reduce the number of hops between source and destination. This fact not only reduces the end-to-end delay and improves the network throughput but also reduces the average energy consumed by the entire network.
{"title":"Directional Graph-Based Energy Model for IoT Wireless Relay Systems","authors":"G. Astudillo, M. Kadoch, B. Abdulrazak","doi":"10.1109/FiCloud.2019.00042","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00042","url":null,"abstract":"The Internet of Things (IoT) consists of integrating sensors into ordinary objects that are connected to the Internet across wired and wireless networks. Due to its greater coverage and low upfront investment, wireless networks have the potential to allow the massive and fast deployment of IoT. In recent years, relay wireless systems equipped with directional antennas have been identified as a robust technology that can boost the performance of IoT networks in terms of coverage, connectivity, and capacity. Contrary to omnidirectional antennas, which can radiate energy in all directions, directional antennas can focus the energy in a specific direction, extending the coverage range for a given power level. In this paper, we propose a method to model the energy consumed by the relaying nodes when directional antennas are used in the IoT wireless network. This study has demonstrated that by adapting the beamwidth of the antennas, nodes can reach furthest nodes and consequently, reduce the number of hops between source and destination. This fact not only reduces the end-to-end delay and improves the network throughput but also reduces the average energy consumed by the entire network.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126688362","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00058
M. B. Yassein, Lujain Al-smadi, Lina Mrayan
The spread of the Internet of Things (IoT) has expanded research frameworks until it has reached on health care. The revolution of IoT has drawn attention to redesigning modern health care with new technologies. Recently, mobile phone applications have become one of the most important devices in the healthcare domain. It allows the patient and doctors to communicate and make different procedures, which make life more flexible and save the life of the patient. mHealth gives a new and quick way of collecting health-related information. There are several kinds in which mobile Apps can be categorized into while there will be a lot out there. In this paper, we have summarized the proposed application in this domain, we will focus on the main parent categories and provide examples in each.
{"title":"A Survey of Mobile Health Applications in Context of Internet of Things","authors":"M. B. Yassein, Lujain Al-smadi, Lina Mrayan","doi":"10.1109/FiCloud.2019.00058","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00058","url":null,"abstract":"The spread of the Internet of Things (IoT) has expanded research frameworks until it has reached on health care. The revolution of IoT has drawn attention to redesigning modern health care with new technologies. Recently, mobile phone applications have become one of the most important devices in the healthcare domain. It allows the patient and doctors to communicate and make different procedures, which make life more flexible and save the life of the patient. mHealth gives a new and quick way of collecting health-related information. There are several kinds in which mobile Apps can be categorized into while there will be a lot out there. In this paper, we have summarized the proposed application in this domain, we will focus on the main parent categories and provide examples in each.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126472241","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00062
Ejike Chuku, D. Kouvatsos
A Cognitive Radio Network (CRN) is based on a technology that enables secondary users (SUs) to access available licensed spectrum not occupied by primary users (PUs). However, due to its open and wireless nature, a CRN is vulnerable to fraudulent attacks, which might attempt to eavesdrop or modify the contents of packets being transmitted. Moreover, denying the opportunity to SUs to use a free band leads to underutilization of the spectrum space. In this context, it is most important as well as challenging to differentiate between networks under denial of service (DoS) attack from the ones experiencing congestion. This paper adopts the SUs performance measures of packet loss probability, mean queue length and mean throughput of the transmission node in order to devise a packet delivery ratio (PDR) for SUs aiming to determine whether or not the network is experiencing a DoS attack. PDR in this case is the ratio of the number of packets successfully forwarded from the encryption node to the SU transmitter. To this end, a generalized stochastic Petri net (GSPN) is proposed in order to investigate if the network is under a DoS attack and suggest a preventive strategy for an efficient network protection. Based on the application of the Mobius Petri Net Package, typical numerical simulation experiments are carried out and related operational interpretations are made.
{"title":"Detection of Network Congestion and Denial of Service (DoS) Attacks in Cognitive Radio Networks","authors":"Ejike Chuku, D. Kouvatsos","doi":"10.1109/FiCloud.2019.00062","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00062","url":null,"abstract":"A Cognitive Radio Network (CRN) is based on a technology that enables secondary users (SUs) to access available licensed spectrum not occupied by primary users (PUs). However, due to its open and wireless nature, a CRN is vulnerable to fraudulent attacks, which might attempt to eavesdrop or modify the contents of packets being transmitted. Moreover, denying the opportunity to SUs to use a free band leads to underutilization of the spectrum space. In this context, it is most important as well as challenging to differentiate between networks under denial of service (DoS) attack from the ones experiencing congestion. This paper adopts the SUs performance measures of packet loss probability, mean queue length and mean throughput of the transmission node in order to devise a packet delivery ratio (PDR) for SUs aiming to determine whether or not the network is experiencing a DoS attack. PDR in this case is the ratio of the number of packets successfully forwarded from the encryption node to the SU transmitter. To this end, a generalized stochastic Petri net (GSPN) is proposed in order to investigate if the network is under a DoS attack and suggest a preventive strategy for an efficient network protection. Based on the application of the Mobius Petri Net Package, typical numerical simulation experiments are carried out and related operational interpretations are made.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126142751","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00053
Ana Rita Santiago, M. Antunes, J. Barraca, D. Gomes, R. Aguiar
Internet of Things (IoT) solutions are becoming very popular since everything can now be processed through a technological service. Currently, data is digital information, creating the need to design platforms and services that fill the gap between data sensors and processing frameworks. IoT Platforms are responsible for attaching data sources with the remaining processing architecture. This paper presents a Machine to Machine (M2M) platform able to monitor data acquisition, processing, and visualization. The use of SCoTv2 allows users to integrate several sources and obtain relevant information only by connecting their sensors with the platform. As our preeminent goal is creating a large scale platform useful for several scenarios, a significant part of the study is related to software challenges, and the connection between technologies. Therefore, our principal contribution is the definition of effective architecture able to reply to different use cases.
{"title":"SCoTv2: Large Scale Data Acquisition, Processing, and Visualization Platform","authors":"Ana Rita Santiago, M. Antunes, J. Barraca, D. Gomes, R. Aguiar","doi":"10.1109/FiCloud.2019.00053","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00053","url":null,"abstract":"Internet of Things (IoT) solutions are becoming very popular since everything can now be processed through a technological service. Currently, data is digital information, creating the need to design platforms and services that fill the gap between data sensors and processing frameworks. IoT Platforms are responsible for attaching data sources with the remaining processing architecture. This paper presents a Machine to Machine (M2M) platform able to monitor data acquisition, processing, and visualization. The use of SCoTv2 allows users to integrate several sources and obtain relevant information only by connecting their sensors with the platform. As our preeminent goal is creating a large scale platform useful for several scenarios, a significant part of the study is related to software challenges, and the connection between technologies. Therefore, our principal contribution is the definition of effective architecture able to reply to different use cases.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127408238","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00009
Georgios L. Stavrinides, H. Karatza
According to the fog computing paradigm, the main processing of Internet of Things (IoT) data is typically performed in the fog layer, close to where the data are generated. However, the computational capacity of the fog resources is usually limited. On the other hand, the computational demands and real-time requirements of IoT applications continue to grow at a staggering rate. Consequently, it is imperative to explore alternative strategies that involve the collaboration between the fog and cloud resources. Towards this direction, in this paper we propose a strategy for the utilization of complementary cloud resources, in order to assist in the processing of real-time, computationally intensive IoT workflow jobs that arrive dynamically in a fog environment. As the cloud involves higher data transfer latency and monetary cost, our approach takes into account these two factors, in addition to the real-time constraints of the workload. The proposed scheduling approach is based on the tradeoff between performance and monetary cost. During resource selection, different contribution factors of these two parameters are investigated. Furthermore, the proposed scheduling heuristic is compared against a baseline policy that utilizes only the fog resources, under different sizes of workflow input data.
{"title":"Cost-Effective Utilization of Complementary Cloud Resources for the Scheduling of Real-Time Workflow Applications in a Fog Environment","authors":"Georgios L. Stavrinides, H. Karatza","doi":"10.1109/FiCloud.2019.00009","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00009","url":null,"abstract":"According to the fog computing paradigm, the main processing of Internet of Things (IoT) data is typically performed in the fog layer, close to where the data are generated. However, the computational capacity of the fog resources is usually limited. On the other hand, the computational demands and real-time requirements of IoT applications continue to grow at a staggering rate. Consequently, it is imperative to explore alternative strategies that involve the collaboration between the fog and cloud resources. Towards this direction, in this paper we propose a strategy for the utilization of complementary cloud resources, in order to assist in the processing of real-time, computationally intensive IoT workflow jobs that arrive dynamically in a fog environment. As the cloud involves higher data transfer latency and monetary cost, our approach takes into account these two factors, in addition to the real-time constraints of the workload. The proposed scheduling approach is based on the tradeoff between performance and monetary cost. During resource selection, different contribution factors of these two parameters are investigated. Furthermore, the proposed scheduling heuristic is compared against a baseline policy that utilizes only the fog resources, under different sizes of workflow input data.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121284055","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00010
Zhipeng Gao, Congcong Yao, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang
Task offloading in edge computing becomes an effective method to extend the computation ability of user equipments (UEs), via migrating computation-intensive applications from UEs to edge servers. However, not only locality-aware resource allocation for UEs and various edge computing services providers (ESPs) but also network economics for profit-driven ESPs and UEs is still a big challenge in task offloading. In this paper, we propose an edge computing resource allocation model based on the continuous-cycle double auction mechanism (RABDA). Considering the emergency of task offloaded, we also propose real-time offloading strategy (RTOS) to ensure tasks are processed efficiently. We use genetic algorithm to determine the winner ESPs which are responsible for providing computational resources to UEs, and verify the performance of our algorithm by contrast experiment. The simulation results show that our algorithm can improve satisfaction between UEs and ESPs, and it has higher resource utilization than the existing algorithm.
{"title":"A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing","authors":"Zhipeng Gao, Congcong Yao, Kaile Xiao, Zijia Mo, Qian Wang, Yang Yang","doi":"10.1109/FiCloud.2019.00010","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00010","url":null,"abstract":"Task offloading in edge computing becomes an effective method to extend the computation ability of user equipments (UEs), via migrating computation-intensive applications from UEs to edge servers. However, not only locality-aware resource allocation for UEs and various edge computing services providers (ESPs) but also network economics for profit-driven ESPs and UEs is still a big challenge in task offloading. In this paper, we propose an edge computing resource allocation model based on the continuous-cycle double auction mechanism (RABDA). Considering the emergency of task offloaded, we also propose real-time offloading strategy (RTOS) to ensure tasks are processed efficiently. We use genetic algorithm to determine the winner ESPs which are responsible for providing computational resources to UEs, and verify the performance of our algorithm by contrast experiment. The simulation results show that our algorithm can improve satisfaction between UEs and ESPs, and it has higher resource utilization than the existing algorithm.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122870351","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00048
Wojciech Rzepecki, Piotr Ryba
Nowadays, wireless Internet of Things (IoT) devices are considered as an integral part of home and industrial automation systems or environmental monitoring. In recent years, many new wireless protocols based on various hardware and software solutions have been developed and introduced into the market. In this publication, a comparison of Thread mesh with Bluetooth Mesh, Zig-Bee, NB-IoT, Sigfox and LoRa is shown. Smart Home, Smart City and Rural area requirements for wireless connectivity are analyzed. In addition, the usability of the Thread and others in the Internet of Things, Services and People (IoTSP) applications is considered. The Thread protocol is based on IEEE 802.15.4 radio standard featuring 2.4 GHz radio connectivity. The paper also describes examples of applications created during study of Thread. The Presented solution is based on NRF52840 SoC (System on chip) and OpenThread - the opensource software implementation of the Thread protocol stack.
{"title":"IoTSP: Thread Mesh vs Other Widely used Wireless Protocols – Comparison and use Cases Study","authors":"Wojciech Rzepecki, Piotr Ryba","doi":"10.1109/FiCloud.2019.00048","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00048","url":null,"abstract":"Nowadays, wireless Internet of Things (IoT) devices are considered as an integral part of home and industrial automation systems or environmental monitoring. In recent years, many new wireless protocols based on various hardware and software solutions have been developed and introduced into the market. In this publication, a comparison of Thread mesh with Bluetooth Mesh, Zig-Bee, NB-IoT, Sigfox and LoRa is shown. Smart Home, Smart City and Rural area requirements for wireless connectivity are analyzed. In addition, the usability of the Thread and others in the Internet of Things, Services and People (IoTSP) applications is considered. The Thread protocol is based on IEEE 802.15.4 radio standard featuring 2.4 GHz radio connectivity. The paper also describes examples of applications created during study of Thread. The Presented solution is based on NRF52840 SoC (System on chip) and OpenThread - the opensource software implementation of the Thread protocol stack.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114506363","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00043
Sunanda Bose, Akash Chowdhury, N. Mukherjee
In IoT scenario, a device can be deployed in a particular environment to serve a particular purpose. It can be any smart device acting as an integral part of any smart system deployed in any environment, which requires remote supervision. To facilitate on-demand remote control of such smart systems, from any public server, that sever must be able to propagate the required signal to the appropriate devices. But, these devices are not publicly addressable as they reside behind various Network Address Translators (NAT). These devices even have energy constraints as they are battery powered. Therefore, for such devices, maintaining a TCP connection or performing repeated polling to the public server is not an energy efficient solution. This paper proposes a scheme that facilitates the server to maintain a UDP connection to the client residing behind a NAT, by dynamic determination of that NAT's translation entry lifetime and by maintaining the translation entry on that NAT through periodic keep-alives from the Server. Thus leading to an energy efficient solution towards on-demand acquiring of sensing resources for IoT based cloud services.
{"title":"LEPaNTU: Long Polling Based Energy Efficient Passive NAT Traversal through UDP","authors":"Sunanda Bose, Akash Chowdhury, N. Mukherjee","doi":"10.1109/FiCloud.2019.00043","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00043","url":null,"abstract":"In IoT scenario, a device can be deployed in a particular environment to serve a particular purpose. It can be any smart device acting as an integral part of any smart system deployed in any environment, which requires remote supervision. To facilitate on-demand remote control of such smart systems, from any public server, that sever must be able to propagate the required signal to the appropriate devices. But, these devices are not publicly addressable as they reside behind various Network Address Translators (NAT). These devices even have energy constraints as they are battery powered. Therefore, for such devices, maintaining a TCP connection or performing repeated polling to the public server is not an energy efficient solution. This paper proposes a scheme that facilitates the server to maintain a UDP connection to the client residing behind a NAT, by dynamic determination of that NAT's translation entry lifetime and by maintaining the translation entry on that NAT through periodic keep-alives from the Server. Thus leading to an energy efficient solution towards on-demand acquiring of sensing resources for IoT based cloud services.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122712236","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00057
Hifza Afzal, M. K. Kasi
In recent times, smart farming based on Internet of Thing (IoT) technologies has enabled the farmers to enhance productivity of their farms and reduce the waste. However, the heterogeneity of the connecting devices in IoTs has invited several challenges such as the lack of understanding between devices when sharing data acquired from heterogeneous data sources. To overcome the interoperability issues, semantic-based technologies are used to makes devices understand and share heterogeneous data among various devices in an IoT system. In this paper, an existing farming ontology has been extended by adding several crucial classes taking rice crop as a case study. The appended classes include water, pesticide, nutrients, and seed-related classes. Based on all the classes of the ontology, SWRL rules have been defined to infer knowledge with the help of Jess rule engine. In this work, a total of 63 rules reason on 101 classes and its associated properties, thereby, inferring several new results including the management of water and nutrients in yield, continuously at each growth stage of the rice crop production. It also maintains the pesticide use throughout the crop life-cycle along with identifying the seed of specific rice crop type. This results in assisting the farmers in daily and phase-wise decision-making related to their rice crops.
{"title":"Ontology-Based Knowledge Modeling for Rice Crop Production","authors":"Hifza Afzal, M. K. Kasi","doi":"10.1109/FiCloud.2019.00057","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00057","url":null,"abstract":"In recent times, smart farming based on Internet of Thing (IoT) technologies has enabled the farmers to enhance productivity of their farms and reduce the waste. However, the heterogeneity of the connecting devices in IoTs has invited several challenges such as the lack of understanding between devices when sharing data acquired from heterogeneous data sources. To overcome the interoperability issues, semantic-based technologies are used to makes devices understand and share heterogeneous data among various devices in an IoT system. In this paper, an existing farming ontology has been extended by adding several crucial classes taking rice crop as a case study. The appended classes include water, pesticide, nutrients, and seed-related classes. Based on all the classes of the ontology, SWRL rules have been defined to infer knowledge with the help of Jess rule engine. In this work, a total of 63 rules reason on 101 classes and its associated properties, thereby, inferring several new results including the management of water and nutrients in yield, continuously at each growth stage of the rice crop production. It also maintains the pesticide use throughout the crop life-cycle along with identifying the seed of specific rice crop type. This results in assisting the farmers in daily and phase-wise decision-making related to their rice crops.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116777717","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 : 2019-08-01DOI: 10.1109/FiCloud.2019.00039
Noureddine Staifi, Said Brahimi, R. Maamri, Meriem Belguidoum
Smart homes play an important role in e-health monitoring, using the various components and devices that intercommunicate with the home system. Thus, it has a huge impact on medical processes, healthcare practices and safety of elder people. Existing e-health monitoring systems do not include optimized techniques which learn the precise patient's behavior to predict future important changes. In this work, we propose a new context-aware system, which monitors daily living activities and evaluates dependency based on the Functional Autonomy Measurement System (SMAF). In fact, our system evaluates a person's dependency, predicts its health condition, detects abnormal situations and risky behavioral changes and offers adapted services.
{"title":"Towards a Smart Home for Elder Healthcare","authors":"Noureddine Staifi, Said Brahimi, R. Maamri, Meriem Belguidoum","doi":"10.1109/FiCloud.2019.00039","DOIUrl":"https://doi.org/10.1109/FiCloud.2019.00039","url":null,"abstract":"Smart homes play an important role in e-health monitoring, using the various components and devices that intercommunicate with the home system. Thus, it has a huge impact on medical processes, healthcare practices and safety of elder people. Existing e-health monitoring systems do not include optimized techniques which learn the precise patient's behavior to predict future important changes. In this work, we propose a new context-aware system, which monitors daily living activities and evaluates dependency based on the Functional Autonomy Measurement System (SMAF). In fact, our system evaluates a person's dependency, predicts its health condition, detects abnormal situations and risky behavioral changes and offers adapted services.","PeriodicalId":268882,"journal":{"name":"2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117042188","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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