IET Wireless Sensor Systems最新文献_第10页

A mobility-aware cluster-based MAC protocol for radio- frequency energy harvesting cognitive wireless sensor networks 一种基于机动性感知集群的射频能量采集认知无线传感器网络MAC协议

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-06-10 DOI: 10.1049/wss2.12021

Arif Obaid, Xavier Fernando, Muhammad Jaseemuddin

{"title":"A mobility-aware cluster-based MAC protocol for radio- frequency energy harvesting cognitive wireless sensor networks","authors":"Arif Obaid, Xavier Fernando, Muhammad Jaseemuddin","doi":"10.1049/wss2.12021","DOIUrl":"10.1049/wss2.12021","url":null,"abstract":"Cognitive wireless sensor networks (CWSN) are severely energy constrained and radio frequency (RF) wireless energy harvesting (RFWEH) has been shown to improve the network lifetime. In many CWSN applications, node mobility imposes challenges owing to changing network topology. Therefore, the design of a new medium access control (MAC) protocol that can handle node mobility as well as energy harvesting is required. A cluster-based multihop MAC protocol (RMAC-M) is proposed that incorporates RF energy harvesting in a mobility-aware CWSN. Our protocol selects cluster heads using an algorithm based on an R-factor parameter consisting of residual node energy, residual node data and node speed, with appropriate weights. It then transmits data packages using a multitier super cluster head routing mechanism without the need for neighbour discovery. The multitier clustering and RFWEH mechanisms boost the energy performance of the network, increasing its lifetime. On the other hand, time slots allocated for RFWEH increase delay, thereby affecting system latency. Owing to its unique nature, the proposed algorithm has no comparable protocols in the literature. For the sake of completeness, RMAC-M is compared with well-known MAC protocols such as LEACH-M and KoNMAC that do not have energy harvesting or mobility features. Simulation results show that the proposed protocol increases the lifetime of the CWSN nodes substantially, promising a self-sustainable network in terms of energy. Furthermore, despite the allocation of time slots for energy harvesting, critical network parameters such as throughput, packet loss and average delay remain within target levels.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 5","pages":"206-218"},"PeriodicalIF":1.9,"publicationDate":"2021-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12021","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73239116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Distributed localization algorithm for wireless sensor networks using range lookup and subregion stitching 基于距离查找和子区域拼接的无线传感器网络分布式定位算法

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-03-26 DOI: 10.1049/wss2.12020

Farhan Khan, Sing Kiong Nguang

{"title":"Distributed localization algorithm for wireless sensor networks using range lookup and subregion stitching","authors":"Farhan Khan, Sing Kiong Nguang","doi":"10.1049/wss2.12020","DOIUrl":"10.1049/wss2.12020","url":null,"abstract":"One of the ways in which localization algorithms in wireless sensor networks (WSNs) have been categorized is whether they are range-based or range-free. Range-based algorithms use expensive hardware to measure one or more physical quantities and, in turn, use them to localize nodes with greater precision. In contrast, range-free algorithms use coarse-grained quantities like connectivity to localize nodes with limited precision. A middle way between these two approaches can be called a partial range-based approach that can utilize the existing received signal strength indicator (RSSI) readings from sensor nodes to improve the already existing coarse-grained localization methods. Another important consideration in WSNs is that a distributed localization algorithm is more computationally feasible as compared to its centralized counterpart. Keeping these two considerations in mind, a distributed localization algorithm is proposed here which falls in the aforementioned partial range-based category. The proposed algorithm called RangeLookup-MDS first creates subregions using connectivity information only. This is followed by the collection of RSSI readings from individual sensor nodes that are used to perform range lookup for inter-node distance estimates in a lookup table. After that, relative localization in every subregion is performed using multidimensional scaling, and then the relative maps are stitched together to create a consistent (but relative) coordinate system. The algorithm also has the capability to compute absolute coordinates in two-dimensional if the stitching step is executed with at least three non-collinear anchor nodes with known locations. Simulation results on uniform as well as irregular networks of various sizes show that the proposed algorithm provides improved localization accuracy and reduces localization error up to 25% in comparison to a previous partial range-based localization algorithm.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 5","pages":"179-205"},"PeriodicalIF":1.9,"publicationDate":"2021-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12020","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78766461","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

COMMA: A new LoRaWAN communication optimisation mechanism for mobility adaptation of IoT 逗号:一种新的LoRaWAN通信优化机制，用于物联网的移动性适应

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-03-16 DOI: 10.1049/wss2.12017

Alexis Picard, Jean-Christophe Lapayre, Fouad Hanna, Ronnie Muthada Pottayya

引用次数: 0

Fusion protocol for improving coverage and connectivity WSNs 用于改善无线传感器网络覆盖和连通性的融合协议

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-03-16 DOI: 10.1049/wss2.12018

Anand Singh Rajawat, Sumit Jain, Kanishk Barhanpurkar

引用次数: 7

Design and optimization of printed spiral coils for wireless passive sensors 无线无源传感器印刷螺旋线圈的设计与优化

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-03-10 DOI: 10.1049/wss2.12019

Babak Noroozi, Bashir I. Morshed

{"title":"Design and optimization of printed spiral coils for wireless passive sensors","authors":"Babak Noroozi, Bashir I. Morshed","doi":"10.1049/wss2.12019","DOIUrl":"10.1049/wss2.12019","url":null,"abstract":"Monitoring physiological signals during regular life might provide many benefits including early detection of abnormalities and tracking the severities of diseases. A wireless connection between the passive sensor and the scanner eliminates the obtrusive wires, resolves battery-related issues, and makes it easy-to-use. We have previously proposed a wireless resistive analogue passive sensor technique that operates with the help of inductive coupling. The variation of resistive physiological transducer (secondary side) leads to amplitude modulation on the scanner coil (primary side). The design of printed spiral coil (PSC) on printed circuit board, significantly affects the performance of the overall system in terms of sensitivity, the output voltage change as a reflection of the transducer change. To optimize the PSC's profile and maximize the sensitivity, we employ three methods: iterative, analytical, and genetic algorithm (GA). The GA optimized PSCs, as the best result, have been fabricated and the measurement showed a sensitivity of 0.72 mƱ which has 5% (8.8%) deviation from the simulation (theoretical) results. This method can be utilized to design a PSC pair in near-field applications to transfer amplitude modulation with various sizes and fabrication constraints.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 4","pages":"169-178"},"PeriodicalIF":1.9,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12019","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84810283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Coverage improvement using Voronoi diagrams in directional sensor networks 利用Voronoi图改善方向传感器网络的覆盖范围

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-03-10 DOI: 10.1049/wss2.12015

Zahra Zarei, Mozafar Bag-Mohammadi

{"title":"Coverage improvement using Voronoi diagrams in directional sensor networks","authors":"Zahra Zarei, Mozafar Bag-Mohammadi","doi":"10.1049/wss2.12015","DOIUrl":"10.1049/wss2.12015","url":null,"abstract":"Recently, the area coverage problem has emerged in the directional sensor network (DSN), where the sensor's sensed area depends on its working direction and viewing angle. This study has proposed a new algorithm based on the Voronoi diagram, called prioritized geometric area coverage (PGAC), to increase DSN's covered area. In a Voronoi diagram, all internal points of a convex polygon (cell) formed around a sensor are closer to the sensor than any other sensor. Therefore, the best sensor for covering a Voronoi cell area is the corresponding sensor of the cell. In contrast to similar approaches, PGAC considers the relation between the cell area and the sensor's covered area when selecting a sensor's working direction. It categorizes Voronoi cells, based on their geometric sizes, into three categories. In each category, PGAC adjusts the sensor's working direction to maximize the covered area and minimize the overlapping between adjacent cells. It also turns off redundant sensors for extending the network lifetime. Our simulation results showed that PGAC increases the covered area and decreases the number of active sensors compared to similar methods.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 3","pages":"111-119"},"PeriodicalIF":1.9,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12015","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83567199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Distributed consensus-based routing protocol with multiple mobile sinks support for wireless sensor network 支持无线传感器网络的多移动sink的分布式基于共识的路由协议

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-03-10 DOI: 10.1049/wss2.12016

Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky

{"title":"Distributed consensus-based routing protocol with multiple mobile sinks support for wireless sensor network","authors":"Nor Azimah Khalid, Quan Bai, Adnan Al-Anbuky","doi":"10.1049/wss2.12016","DOIUrl":"10.1049/wss2.12016","url":null,"abstract":"Non-uniform node distribution in a randomly deployed network causes inefficient routing when some abnormality or events at certain parts of the network cannot be detected due to a coverage hole problem. Existing works to improve routing efficiency in randomly deployed network utilise mobile sink to prolong nodes lifetime is either centred around the static sink or movement through random patterns. Few works had considered multiple mobile sinks to route packets in such network distribution. In fact, important aspect such as collaborations among mobile sinks is not well considered, where the decision made by each mobile sink in most existing approaches tend to maximise the individual sink's utility rather than benefiting wider parts of the network. Thus, a decision based on consensus may benefit more parties and eventually lead to better decision. A distributed collaboration mechanism may assist nodes mobility in improving routing efficiency. Thus, the authors proposed the consensus-based routing protocol, which aims to improve routing efficiency in randomly deployed network, by deciding relocation of mobile sinks based on coverage factor, in order to reduce energy consumption, providing more balance sinks distribution and better network coverage. Simulation results show good performances of proposed approach in terms of nodes lifetime, energy consumption, delay, packet delivery ratio and coverage hole, compared to other existing protocols.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 3","pages":"131-145"},"PeriodicalIF":1.9,"publicationDate":"2021-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12016","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81359077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Lifetime enhancement of wireless sensor network using solar energy harvesting technique 利用太阳能收集技术增强无线传感器网络的寿命

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-02-26 DOI: 10.1049/wss2.12008

Harmandeep Kaur, Avtar Singh Buttar

引用次数: 2

A new energy aware cluster head selection for LEACH in wireless sensor networks 一种新的能量感知无线传感器网络LEACH簇头选择方法

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-02-26 DOI: 10.1049/wss2.12007

Sina Einavi Pour, Reza Javidan

{"title":"A new energy aware cluster head selection for LEACH in wireless sensor networks","authors":"Sina Einavi Pour, Reza Javidan","doi":"10.1049/wss2.12007","DOIUrl":"10.1049/wss2.12007","url":null,"abstract":"Internet of Things (IoTs) as a new network pattern for the intelligent world usually uses wireless sensor networks (WSNs) as a perception layer which consisted of numerous number of sensor nodes scattered in the environment to gather intended information. The selected information then is sent to a base station (BS) to be sent to cloud server for further processing. Since the energy of sensor nodes is limited, the most significant challenge in these networks is reducing the energy consumption of the network. It is proved that dividing the network to clusters can significantly reduce the energy consumption. One of the most popular clustering protocols in WSNs is the Low-Energy Adaptive Clustering Hierarchy (LEACH). In this protocol, cluster heads (CHs) are selected randomly which results in poor performance in real scenarios. In this article, a new energy aware CH selection algorithm is proposed which selects CHs based on the residual energy, the position and centrality of nodes. It uses a variable range upon which the centrality and the number of neighbours of each node are calculated. Simulation results show that the proposed algorithm outperforms LEACH, Multi-hope Routing with LEACH (MR-LEACH) and Enhanced Multi-hop LEACH (EM-LEACH) in terms of reducing energy consumption, increasing network lifetime and improving network reliability.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 1","pages":"45-53"},"PeriodicalIF":1.9,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83135039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 13

Sensing node selection and mobile sink displacement in the environments with multiple targets 多目标环境下传感节点选择与移动汇位移

IF 1.9

IET Wireless Sensor Systems Pub Date : 2021-02-22 DOI: 10.1049/wss2.12013

Leila Saadatdoost, Homayun Motameni, Seyed Mehdi Hosseini Andargoli, Reza Ghazalian

{"title":"Sensing node selection and mobile sink displacement in the environments with multiple targets","authors":"Leila Saadatdoost, Homayun Motameni, Seyed Mehdi Hosseini Andargoli, Reza Ghazalian","doi":"10.1049/wss2.12013","DOIUrl":"10.1049/wss2.12013","url":null,"abstract":"In target tracking scenarios, a suitable sensor selection method in combination with designing mobile sinks (MSes) movement path is a promising solution to maximise the lifetime of the wireless sensor network (WSN). The lifetime optimization problem is non-deterministic polynomial-time hardness (NP-hard) and its optimal solution requires an exhaustive search with the exponential complexity. To tackle this issue, the original problem is separated into two more tractable sub-problems: first, the MSes' assignment and their positions' calculations, second, the SN assignment problem. The SNs assignment problem is an integer programing, which is relaxed to the more tractable form. Moreover, its solution results in a priority function which is combined with a numerical search algorithm to select the SNs. In the proposed framework, based on the estimated path of each target, a MS is assigned to the target. Besides, the MSes optimum position in the next rounds are calculated. Afterwards, for each target at each round, sensing nodes (SNs) are selected based on the targets' position and the MSes' position. Simulation results show that proposed solution increases the network's lifetime considerably in comparison with the benchmark algorithms while its complexity is much lower than that of the optimal exhaustive search algorithm.","PeriodicalId":51726,"journal":{"name":"IET Wireless Sensor Systems","volume":"11 4","pages":"147-160"},"PeriodicalIF":1.9,"publicationDate":"2021-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/wss2.12013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85670563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3