Routing Protocol for Wireless Sensor Networks Based on Archimedes Optimization Algorithm

Yindi Yao, Dangyuan Xie, Ying Li, Chen Wang, Yangli Li

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

One of the key design problems of wireless sensor networks is to reduce energy consumption and improve node survival. Because the battery in sensor nodes is difficult to replace and the energy is limited, the design of energy-saving routing protocol becomes very important. Aiming at the problems of limiting node energy and shortening network lifetime in wireless sensor networks, a WSNs routing protocol based on improved archimedes optimization algorithm (IAOAR) is proposed in this paper. Firstly, in the cluster establishment phase, the protocol defines different fitness functions according to the energy, number and distance of sensor nodes to select the appropriate initial cluster. Then the fitness value of the node is calculated, and the weight is dynamically updated according to the number of iterations to improve the optimization ability of AOA algorithm. Virtual force is introduced to adjust the selected cluster head position to ensure the selection of optimal cluster heads, reduce the transmission energy consumption of common sensor nodes. In the data transmission stage, combined with the improved ant colony algorithm, the shortest transmission path to the sink node is constructed to reduce the energy consumption of long-distance data transmission at the cluster head. The simulation results showed that compared with LEACH, E-LEACH, LEACH-ANT and MAXLEACH protocols, the network life cycle of the protocol proposed in this paper was improved by 140.55%, 107.09%, 99.24% and 96.76% respectively. It effectively reduced the speed of node death, balances the network energy consumption and prolonged the network lifetime.

Original languageEnglish
Pages (from-to)15561-15573
Number of pages13
JournalIEEE Sensors Journal
Volume22
Issue number15
DOIs
StatePublished - 1 Aug 2022
Externally publishedYes

Keywords

  • Archimedes optimization algorithm
  • network energy consumption
  • network lifetime
  • route optimization
  • wireless sensor networks

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