期刊
IEEE ACCESS
卷 8, 期 -, 页码 214551-214564出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2020.3041118
关键词
Protocols; Wireless sensor networks; Routing protocols; Energy dissipation; Sensors; Clustering algorithms; Spread spectrum communication; WSN; clustering protocol; network lifetime; harmony search; artificial bee colony
资金
- National Natural Science Foundation of China [61701082, 61701116, 61601093, 61971113, 61901095]
- National Key Research and Development Program [2018YFB1802102, 2018AAA0103203]
- Guangdong Provincial Research and Development Plan in Key Areas [2019B010141001, 2019B010142001]
- Sichuan Provincial Science and Technology Planning Program [2018HH0034, 2019YFG0418, 2019YFG0120, 2020YFG0039, 2018JY0246]
- Ministry of Education China Mobile Fund Program [MCM20180104]
- Yibin Science and Technology Program Key Projects [2018ZSF001, 2019GY001]
- Fundamental Research Funds for the Central Universities [ZYGX2019Z022]
- Central University Business Fee Program [A03019023801224]
Lifetime is one of the most critical indexes of the Wireless Sensor Network (WSN). In this paper, we propose a clustering protocol based on the meta-heuristic approach (CPMA). CPMA takes the network lifetime as the primary consideration and consists of two parts. The first part focuses on the online cluster head selection and network communication coordination. The selection is based on the Harmony Search (HS) Algorithm, which aims to reduce the total energy dissipation and smooth the energy distribution throughout the network. Currently, most clustering protocols cannot automatically tune the corresponding protocol parameters according to the diversity of different WSNs. To solve such issue, the second part of CPMA uses the Artificial Bee Colony (ABC) algorithm to optimize its crucial parameters. The optimization is offline and will be executed only once before the network is working. We make a detailed comparison of CPMA with classical clustering protocols. The results show that CPMA can better prolong the network lifetime and improve network throughput under almost all the network conditions. Furthermore, our simulation also exhibits that CPMA has good adaptability and performs well under different network lifetime definitions. All the results prove that CPMA has the advantages of being suitable and efficient for a wide number of WSN applications.
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