TY - JOUR
T1 - A Novel Energy-Efficient, Static Scenario-Oriented Routing Method of Wireless Sensor Network Based on Edge Computing
AU - Liu, Gang
AU - Liu, Zhaobin
AU - Sheng, Victor S.
AU - Zhang, Liang
AU - Yang, Yuanfeng
N1 - Funding Information:
This research was supported in part by the NSFC (National Natural Science Foundation of China) program, under Grant Nos. 61672372, 61472211, and 61472268; Natural Science Fund for Colleges and Universities in Jiangsu Province under Grant No. 19KJB520056; Science and Technology Entrepreneurship Angel Program of Suzhou under Grant CYTS2019255; Science and Technology Project of Suzhou under Grant SS202151; Jiangsu Universities Overseas Research Program in 2019, the Outstanding Science- Technology Innovation Team Program of Colleges and Universities in Jiangsu; the Industrial Technology Innovation Project of Suzhou City under Grant No. SYG201710; and the Program to Cultivate Middle-aged and Young Cadre Teacher of Suzhou Vocational University.
Publisher Copyright:
© 2022 Gang Liu et al.
PY - 2022
Y1 - 2022
N2 - In wireless sensor network (WSN), the energy of sensor nodes is limited. Designing efficient routing method for reducing energy consumption and extending the WSN's lifetime is important. This paper proposes a novel energy-efficient, static scenario-oriented routing method of WSN based on edge computing named the NEER, in which WSN is divided into several areas according to the coverage of gateway (or base station), and each of the areas is regarded as an edge area network (EAN). Each edge area network is abstracted into a weighted undirected graph model combined with the residual energy of the sensor nodes. The base station (or a gateway) calculates the optimal energy consumption path for all sensor nodes within its coverage, and the nodes then perform data transmission through their suggested optimal paths. The proposed method is verified by the simulations, and the results show that the proposed method may consume about 37% less energy compared with the conventional WSN routing protocol and can also effectively extend the lifetime of WSN.
AB - In wireless sensor network (WSN), the energy of sensor nodes is limited. Designing efficient routing method for reducing energy consumption and extending the WSN's lifetime is important. This paper proposes a novel energy-efficient, static scenario-oriented routing method of WSN based on edge computing named the NEER, in which WSN is divided into several areas according to the coverage of gateway (or base station), and each of the areas is regarded as an edge area network (EAN). Each edge area network is abstracted into a weighted undirected graph model combined with the residual energy of the sensor nodes. The base station (or a gateway) calculates the optimal energy consumption path for all sensor nodes within its coverage, and the nodes then perform data transmission through their suggested optimal paths. The proposed method is verified by the simulations, and the results show that the proposed method may consume about 37% less energy compared with the conventional WSN routing protocol and can also effectively extend the lifetime of WSN.
UR - http://www.scopus.com/inward/record.url?scp=85123779994&partnerID=8YFLogxK
U2 - 10.1155/2022/3450361
DO - 10.1155/2022/3450361
M3 - Article
AN - SCOPUS:85123779994
VL - 2022
JO - Wireless Communications and Mobile Computing
JF - Wireless Communications and Mobile Computing
SN - 1530-8669
M1 - 3450361
ER -