{"title":"基于网格聚类的同质无线传感器网络的TOPSIS优化双跳路由协议","authors":"Saloni, D. Kakkar","doi":"10.1109/ICSCCC.2018.8703304","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSNs) is developing as a noteworthy innovation due to its various applications. WSNs comprise many Sensor Nodes (SN) to accumulate the data from physical environment. Every SN is powered by a battery and has both computing and communication capabilities. Because of limited resources, mainly insufficient battery power, there is a need to save the energy for prolonging network’s lifetime. Clustering of SN is among the efficacious techniques that are used to overcome the energy consumption problem in WSNs. In the work proposed here, an optimized dual-hop routing protocol with grid clustering mechanism is presented. This is done by dividing the network field into uniform size grids where every grid is considered as a cluster. From each grid, a Grid Head (GH) is being selected depending upon the residual energy of the SNs. The selection of next-hop for dual-hop communication is based on finding out the optimal node among the neighboring GHs using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. MATLAB is used to perform the simulations. The evaluation of performance of the proposed work is made in terms of energy consumption, lifetime and stability period of the network.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"TOPSIS optimized Dual-Hop Routing Protocol for Homogeneous Wireless Sensor Networks with Grid-Based Clustering\",\"authors\":\"Saloni, D. Kakkar\",\"doi\":\"10.1109/ICSCCC.2018.8703304\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wireless Sensor Networks (WSNs) is developing as a noteworthy innovation due to its various applications. WSNs comprise many Sensor Nodes (SN) to accumulate the data from physical environment. Every SN is powered by a battery and has both computing and communication capabilities. Because of limited resources, mainly insufficient battery power, there is a need to save the energy for prolonging network’s lifetime. Clustering of SN is among the efficacious techniques that are used to overcome the energy consumption problem in WSNs. In the work proposed here, an optimized dual-hop routing protocol with grid clustering mechanism is presented. This is done by dividing the network field into uniform size grids where every grid is considered as a cluster. From each grid, a Grid Head (GH) is being selected depending upon the residual energy of the SNs. The selection of next-hop for dual-hop communication is based on finding out the optimal node among the neighboring GHs using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. MATLAB is used to perform the simulations. The evaluation of performance of the proposed work is made in terms of energy consumption, lifetime and stability period of the network.\",\"PeriodicalId\":148491,\"journal\":{\"name\":\"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSCCC.2018.8703304\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSCCC.2018.8703304","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
无线传感器网络(WSNs)由于其广泛的应用而成为一项值得关注的创新。无线传感器网络由多个传感器节点(Sensor node, SN)组成,用于从物理环境中积累数据。每个SN由电池供电,具有计算和通信能力。由于资源有限,主要是电池电量不足,因此需要节约能源来延长网络的使用寿命。无线传感器网络的聚类是克服无线传感器网络能耗问题的有效技术之一。本文提出了一种优化的带有网格聚类机制的双跳路由协议。这是通过将网络字段划分为统一大小的网格来实现的,其中每个网格都被视为一个集群。从每个网格中,根据SNs的剩余能量选择网格头(GH)。双跳通信的下一跳选择是基于使用TOPSIS (Order Preference Technique by Similarity to Ideal Solution)方法在相邻GHs中找到最优节点。利用MATLAB进行仿真。从电网的能耗、寿命和稳定周期三个方面对所提工作的性能进行了评价。
TOPSIS optimized Dual-Hop Routing Protocol for Homogeneous Wireless Sensor Networks with Grid-Based Clustering
Wireless Sensor Networks (WSNs) is developing as a noteworthy innovation due to its various applications. WSNs comprise many Sensor Nodes (SN) to accumulate the data from physical environment. Every SN is powered by a battery and has both computing and communication capabilities. Because of limited resources, mainly insufficient battery power, there is a need to save the energy for prolonging network’s lifetime. Clustering of SN is among the efficacious techniques that are used to overcome the energy consumption problem in WSNs. In the work proposed here, an optimized dual-hop routing protocol with grid clustering mechanism is presented. This is done by dividing the network field into uniform size grids where every grid is considered as a cluster. From each grid, a Grid Head (GH) is being selected depending upon the residual energy of the SNs. The selection of next-hop for dual-hop communication is based on finding out the optimal node among the neighboring GHs using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. MATLAB is used to perform the simulations. The evaluation of performance of the proposed work is made in terms of energy consumption, lifetime and stability period of the network.