Pub Date : 2020-01-01DOI: 10.4018/978-1-7998-2454-1.ch060
I. Jemili, Dhouha Ghrab, A. Belghith, M. Mosbah
As the energy efficiency remains a key issue in wireless sensor networks, duty-cycled mechanisms acquired much interest due to their ability to reduce energy consumption by allowing sensor nodes to switch to the sleeping state whenever possible. The challenging task is to authorize a sensor node to adopt a duty-cycle mode without inflicting any negative impact on the performance of the network. A context-aware paradigm allows sensors to adapt their functional behavior according to the context in order to enhance network performances. In this context, the authors propose an enhanced version the Efficient Context-Aware Multi-hop Broadcasting (E-ECAB) protocol, which combines the advantages of context awareness by considering a multi criteria and duty-cycle technique in order to optimize resources usage and satisfy the application requirements. Simulation results show that E-ECAB achieves a significant improvement in term of throughput and end-to-end delay without sacrificing energy efficiency.
{"title":"Context-Aware Broadcast in Duty-Cycled Wireless Sensor Networks","authors":"I. Jemili, Dhouha Ghrab, A. Belghith, M. Mosbah","doi":"10.4018/978-1-7998-2454-1.ch060","DOIUrl":"https://doi.org/10.4018/978-1-7998-2454-1.ch060","url":null,"abstract":"As the energy efficiency remains a key issue in wireless sensor networks, duty-cycled mechanisms acquired much interest due to their ability to reduce energy consumption by allowing sensor nodes to switch to the sleeping state whenever possible. The challenging task is to authorize a sensor node to adopt a duty-cycle mode without inflicting any negative impact on the performance of the network. A context-aware paradigm allows sensors to adapt their functional behavior according to the context in order to enhance network performances. In this context, the authors propose an enhanced version the Efficient Context-Aware Multi-hop Broadcasting (E-ECAB) protocol, which combines the advantages of context awareness by considering a multi criteria and duty-cycle technique in order to optimize resources usage and satisfy the application requirements. Simulation results show that E-ECAB achieves a significant improvement in term of throughput and end-to-end delay without sacrificing energy efficiency.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86355118","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}
Avoiding from congestion and provision of reliable communication characterising the low energy consumption and high data rate is one of the momentous challenges at Media Access Control (MAC) layer. This become more difficult to achieve when there is energy constraint mixed with mobility of nodes. Same issue is addressed in this underlying paper. Here we have proposed a Time-Sharing Energy Efficient Congestion Control (TSEEC) technique for Mobile Wireless Sensor Networks. Time Division Multiple Access Protocol (TDMA) and Statistical Time Division Multiple Access Protocol (STDMA) are major constituents of this technique. These helps in conserving the energy by controlling the sleeping, waking up and listening states of sensor nodes. Load Based Allocation and Time Allocation Leister techniques further helps in conserving the network energy minimizing the network congestion. First mentioned technique is designed on the basis of STDMA Protocol and uses the sensor node information to dynamically assign the time slots while later said technique is does the job of mobility management of sensor node. This Time Allocation Leister techniques further comprises of Extricated Time Allocation (ETA), Shift Back Time Allocation (SBTA), and eScaped Time Allocation (STA) sub techniques for managing the joing and leaving of nodes to cluster and redundantabsence of data for communication respectively. To control the movement of mobile sensor nodes, we have also introduced mobility pattern as part of TSEEC that helps in making the protocol adaptive to traffic environment and to mobility as well. A comparitive analysis of proposed mechanism with SMAC is performed in NS2 along with mathematical anslysis by considering energy consumption, and packet deliver ratio as performance evaluation parameters. The results for the former outperforms to that of later. Moreover, comparative analysis of the proposed TSEEC with other MAC protocols is also presented.
{"title":"Energy Efficient Congestion Control in Wireless Sensor Networks","authors":"Awais Ahmad, Anand Paul, Sohail Jabbar, Seungmin Rho","doi":"10.4018/978-1-4666-9941-0.CH003","DOIUrl":"https://doi.org/10.4018/978-1-4666-9941-0.CH003","url":null,"abstract":"Avoiding from congestion and provision of reliable communication characterising the low energy consumption and high data rate is one of the momentous challenges at Media Access Control (MAC) layer. This become more difficult to achieve when there is energy constraint mixed with mobility of nodes. Same issue is addressed in this underlying paper. Here we have proposed a Time-Sharing Energy Efficient Congestion Control (TSEEC) technique for Mobile Wireless Sensor Networks. Time Division Multiple Access Protocol (TDMA) and Statistical Time Division Multiple Access Protocol (STDMA) are major constituents of this technique. These helps in conserving the energy by controlling the sleeping, waking up and listening states of sensor nodes. Load Based Allocation and Time Allocation Leister techniques further helps in conserving the network energy minimizing the network congestion. First mentioned technique is designed on the basis of STDMA Protocol and uses the sensor node information to dynamically assign the time slots while later said technique is does the job of mobility management of sensor node. This Time Allocation Leister techniques further comprises of Extricated Time Allocation (ETA), Shift Back Time Allocation (SBTA), and eScaped Time Allocation (STA) sub techniques for managing the joing and leaving of nodes to cluster and redundantabsence of data for communication respectively. To control the movement of mobile sensor nodes, we have also introduced mobility pattern as part of TSEEC that helps in making the protocol adaptive to traffic environment and to mobility as well. A comparitive analysis of proposed mechanism with SMAC is performed in NS2 along with mathematical anslysis by considering energy consumption, and packet deliver ratio as performance evaluation parameters. The results for the former outperforms to that of later. Moreover, comparative analysis of the proposed TSEEC with other MAC protocols is also presented.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81109140","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 : 2020-01-01DOI: 10.4018/978-1-7998-2454-1.ch024
Venkata Ramana Sarella, P. Reddy, S. K. Rao, Preethi Padala
WSN is a promising approach for variety of different real time applications. Different Routing protocols for WSNs are very effective challenge in present days because of scalability, efficient energy utilization and robustness in large number of wireless sensor networks with consists of more number of sensor nodes. LEATCH is a traditional routing protocol for energy optimization in WSNs. However, LEATCH cannot scale performance for large scale wireless sensor networks and difficulty to apply effective utilization of real time wireless sensor networks. So, in this paper the authors propose to develop a novel Energy Efficiency and Event Clustering Adaptive Routing Protocol (EEECARP) for WSN. The main designing feature of their proposed approach is as follows: Energy Efficiency, Dynamic Event Clustering and multi hop relay configuration with residual energy available on relay nodes in wireless sensor networks. The simulation results show that authors' routing protocol achieves convenient and effective better performance in formation of clusters with relay sensor nodes in wireless sensor networks.
{"title":"EEECARP","authors":"Venkata Ramana Sarella, P. Reddy, S. K. Rao, Preethi Padala","doi":"10.4018/978-1-7998-2454-1.ch024","DOIUrl":"https://doi.org/10.4018/978-1-7998-2454-1.ch024","url":null,"abstract":"WSN is a promising approach for variety of different real time applications. Different Routing protocols for WSNs are very effective challenge in present days because of scalability, efficient energy utilization and robustness in large number of wireless sensor networks with consists of more number of sensor nodes. LEATCH is a traditional routing protocol for energy optimization in WSNs. However, LEATCH cannot scale performance for large scale wireless sensor networks and difficulty to apply effective utilization of real time wireless sensor networks. So, in this paper the authors propose to develop a novel Energy Efficiency and Event Clustering Adaptive Routing Protocol (EEECARP) for WSN. The main designing feature of their proposed approach is as follows: Energy Efficiency, Dynamic Event Clustering and multi hop relay configuration with residual energy available on relay nodes in wireless sensor networks. The simulation results show that authors' routing protocol achieves convenient and effective better performance in formation of clusters with relay sensor nodes in wireless sensor networks.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82679403","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 : 2020-01-01DOI: 10.4018/978-1-7998-2454-1.ch029
B. Khan, R. Bilal
One of the critical and vital parameter of Wireless Sensor Networks (WSNs) is its lifetime. There are various methods to increase WSN lifetime, clustering technique is one of them. In clustering, selection of desired percentage of Cluster Head (CHs) is performed among the sensor nodes (SNs). Selected CHs are responsible to collect data from its member nodes, aggregates the data and finally send to the sink. In this chapter, Fuzzy-TOPSIS techniques based on multi criteria decision making to choose CH efficiently and effectively to maximize the WSN lifetime are presented. These five criteria includes; residual energy, node energy consumption rate, number of neighbor nodes, average distance between neighboring nodes and distance from sink. Threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. Moreover impact of node density and different type mobility strategies are presented in order to investigate impact over WSN lifetime.
{"title":"Fuzzy-Topsis-Based Cluster Head Selection in Mobile Wireless Sensor Networks","authors":"B. Khan, R. Bilal","doi":"10.4018/978-1-7998-2454-1.ch029","DOIUrl":"https://doi.org/10.4018/978-1-7998-2454-1.ch029","url":null,"abstract":"One of the critical and vital parameter of Wireless Sensor Networks (WSNs) is its lifetime. There are various methods to increase WSN lifetime, clustering technique is one of them. In clustering, selection of desired percentage of Cluster Head (CHs) is performed among the sensor nodes (SNs). Selected CHs are responsible to collect data from its member nodes, aggregates the data and finally send to the sink. In this chapter, Fuzzy-TOPSIS techniques based on multi criteria decision making to choose CH efficiently and effectively to maximize the WSN lifetime are presented. These five criteria includes; residual energy, node energy consumption rate, number of neighbor nodes, average distance between neighboring nodes and distance from sink. Threshold based intra-cluster and inter-cluster multi-hop communication mechanism is used to decrease energy consumption. Moreover impact of node density and different type mobility strategies are presented in order to investigate impact over WSN lifetime.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78295406","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 : 2020-01-01DOI: 10.12677/jsta.2020.82007
丹平 贾
{"title":"Research on Online Measurement Method of Power Cable Temperature Based on Bragg Grating","authors":"丹平 贾","doi":"10.12677/jsta.2020.82007","DOIUrl":"https://doi.org/10.12677/jsta.2020.82007","url":null,"abstract":"","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66128985","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 : 2020-01-01DOI: 10.12677/jsta.2020.83009
未杰 刘
{"title":"Research on Accurate and Fast Evaluation De-vice Using for Gas Sensor Performance","authors":"未杰 刘","doi":"10.12677/jsta.2020.83009","DOIUrl":"https://doi.org/10.12677/jsta.2020.83009","url":null,"abstract":"","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66129053","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 : 2020-01-01DOI: 10.4018/978-1-5225-2157-0.CH010
Mohit Mittal, R. S. Bhadoria
Wireless Sensor Networks (WSNs) devices are designed and deployed in sensing fields for various applications such as weather monitoring, human surveillance, animal tracking etc. for sensing the information from physical world phenomena parametric values to digital world signal information. Now a day's, WSNs are become prime area of research which includes service-oriented architecture (SOA) and Enterprise Service Bus (ESB) depend on the applications. This chapter has discussed the architecture, requirements and implementation issues SOA with WSN.
{"title":"Aspect of ESB With Wireless Sensor Network","authors":"Mohit Mittal, R. S. Bhadoria","doi":"10.4018/978-1-5225-2157-0.CH010","DOIUrl":"https://doi.org/10.4018/978-1-5225-2157-0.CH010","url":null,"abstract":"Wireless Sensor Networks (WSNs) devices are designed and deployed in sensing fields for various applications such as weather monitoring, human surveillance, animal tracking etc. for sensing the information from physical world phenomena parametric values to digital world signal information. Now a day's, WSNs are become prime area of research which includes service-oriented architecture (SOA) and Enterprise Service Bus (ESB) depend on the applications. This chapter has discussed the architecture, requirements and implementation issues SOA with WSN.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72517018","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 : 2020-01-01DOI: 10.4018/978-1-5225-0299-9.CH009
Dilum Rukshan Perera, K. S. Mannathunga, R. D. D. Dharmasiri, R. Meegama, K. Jayananda
Applications that involve monitoring of environmental parameters require measuring devices to be placed at different geographical locations but are controlled centrally at a remote site. The measuring devices in such applications need to be physically small, consume low power, and must be capable of local processing tasks facilitating the mobility to span the measuring area in a vast geographic area. This chapter presents the design of a generalized, re-configurable, re-programmable smart sensor node using a Zigbee with a Field-Programmable Gate Array (FPGA) that embeds all processing and communication functionalities based on the IEEE 1451 family of standards. Design of the sensor nodes includes communication, processing and transducer control functionalities in a single core increasing the speedup of processing power due to inter-process communication taking place within the chip itself.
{"title":"Implementation of a Smart Sensor Node for Wireless Sensor Network Applications Using FPGAs","authors":"Dilum Rukshan Perera, K. S. Mannathunga, R. D. D. Dharmasiri, R. Meegama, K. Jayananda","doi":"10.4018/978-1-5225-0299-9.CH009","DOIUrl":"https://doi.org/10.4018/978-1-5225-0299-9.CH009","url":null,"abstract":"Applications that involve monitoring of environmental parameters require measuring devices to be placed at different geographical locations but are controlled centrally at a remote site. The measuring devices in such applications need to be physically small, consume low power, and must be capable of local processing tasks facilitating the mobility to span the measuring area in a vast geographic area. This chapter presents the design of a generalized, re-configurable, re-programmable smart sensor node using a Zigbee with a Field-Programmable Gate Array (FPGA) that embeds all processing and communication functionalities based on the IEEE 1451 family of standards. Design of the sensor nodes includes communication, processing and transducer control functionalities in a single core increasing the speedup of processing power due to inter-process communication taking place within the chip itself.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74562877","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 : 2020-01-01DOI: 10.4018/978-1-5225-0501-3.CH001
Surjit Singh, Rajeev Mohan Sharma
Localization of nodes in wireless sensor networks is needed to track/know the event origin and node location both, routing, network coverage and querying of sensor clusters. Wireless Sensor Networks (WSN) have different applications along with different challenges. Here, position information system is one of the challenging aspect that plays an important role in increasing the lifetime and survivability of WSN. And, the computational techniques have been successfully used in recent years to address the localization system of nodes in WSN. However it is very difficult to know about the best computational technique for optimizing localization system of nodes. This work intends to close the gap for selecting suitable computational technique for node localization system optimization. Our aim is to provide a better understanding of the current research trends in this field.
{"title":"Localization System Optimization in Wireless Sensor Networks (LSO-WSN)","authors":"Surjit Singh, Rajeev Mohan Sharma","doi":"10.4018/978-1-5225-0501-3.CH001","DOIUrl":"https://doi.org/10.4018/978-1-5225-0501-3.CH001","url":null,"abstract":"Localization of nodes in wireless sensor networks is needed to track/know the event origin and node location both, routing, network coverage and querying of sensor clusters. Wireless Sensor Networks (WSN) have different applications along with different challenges. Here, position information system is one of the challenging aspect that plays an important role in increasing the lifetime and survivability of WSN. And, the computational techniques have been successfully used in recent years to address the localization system of nodes in WSN. However it is very difficult to know about the best computational technique for optimizing localization system of nodes. This work intends to close the gap for selecting suitable computational technique for node localization system optimization. Our aim is to provide a better understanding of the current research trends in this field.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74191404","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 : 2020-01-01DOI: 10.4018/978-1-5225-0058-2.CH010
J. Singh, P. Dutta
One of the important application domain of sensor network is monitoring a region and/or tracking a target. In such type of applications, the location of the source node tracking that target is very important. At the same time, if the location of the node currently tracking the target is captured by an adversary then that target may fall into a difficult situation. In this chapter, a solution to source location privacy with the help of Ant Colony Optimization is proposed. The idea of pheromone level is normally used to find out the shortest path between the source node and the base station that to minimize the energy consumption of the networks. The pheromone level of the ants is used here to guide the ants to follow different paths to hide the source location from adversaries who uses traffic analysis to capture the source node.
{"title":"Source Location Privacy Using Ant Colony Optimization in Wireless Sensor Networks","authors":"J. Singh, P. Dutta","doi":"10.4018/978-1-5225-0058-2.CH010","DOIUrl":"https://doi.org/10.4018/978-1-5225-0058-2.CH010","url":null,"abstract":"One of the important application domain of sensor network is monitoring a region and/or tracking a target. In such type of applications, the location of the source node tracking that target is very important. At the same time, if the location of the node currently tracking the target is captured by an adversary then that target may fall into a difficult situation. In this chapter, a solution to source location privacy with the help of Ant Colony Optimization is proposed. The idea of pheromone level is normally used to find out the shortest path between the source node and the base station that to minimize the energy consumption of the networks. The pheromone level of the ants is used here to guide the ants to follow different paths to hide the source location from adversaries who uses traffic analysis to capture the source node.","PeriodicalId":68742,"journal":{"name":"传感技术(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77194251","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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