文献类型：期刊文献

英文题名：An uneven annulus sector grid-based energy-efficient multi-hop routing protocol for wireless sensor networks

作者：Huang, Jianhua[1];Li, Tianqi[1];Shi, Zhigang[1]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, 130 Meilong Rd, Shanghai 200237, Peoples R China

年份：2022

卷号：15

期号：1

起止页码：559

外文期刊名：PEER-TO-PEER NETWORKING AND APPLICATIONS

收录：;EI(收录号：20214611163919);WOS:【SCI-EXPANDED(收录号:WOS:000717897700002)】；

基金：This work is supported in part by the National Science Foundation of China grant number [61472139]; the key project of Shanghai Science and Technology Commission grant number [11511504403].

语种：英文

外文关键词：Wireless sensor networks; Routing protocol; Grid-based clustering; Multi-hop routing; Network lifetime

摘要：Due to the limited energy of sensor nodes in wireless sensor networks (WSNs), it is crucial to design an energy-efficient routing protocol for WSNs. However, most current routing protocols cannot balance the energy consumption of nodes well, which leads to the hot spot problem and shortens the network lifetime. This paper proposes an uneven annulus sector grid-based energy-efficient multi-hop routing protocol (UASGRP). The proposed protocol employs an uneven annulus sector grid clustering approach that takes the base station (BS) as the center and divides the network area into annulus sector grids with unequal sizes to balance the energy consumption of nodes. Cluster head (CH) nodes and communication management (CM) nodes are combined to establish routes to transmit data, which lightens the load of CHs. In addition, a multi-hop relay transmission mechanism is used to support the scalability of the network. A nearest interlayer routing algorithm is designed to construct multi-hop transmission routes. Theoretical analysis proves that this algorithm can effectively reduce the energy consumption of relay transmission. Simulation results show that compared with other grid-based clustering schemes, UASGRP can better balance the energy consumption of the network and has greater scalability for various sizes of networks.