Abstract
AbstractCurrently, sensor energy assembly in wireless sensor networks is limited, and clustering methods are not effective to improve sensor energy consumption rate. Thus, a hierarchical energy-saving routing algorithm based on fuzzy logic was constructed by considering three aspects: residual energy value, centrality, and distance value between nodes and base stations. The remaining sensor nodes selected by fuzzy logic algorithm have a longer time to live and greater residual energy than those selected by low-power adaptive clustering hierarchical protocol algorithm, fuzzy unequal clustering algorithm, and fuzzy logic cluster head election algorithm. For network life cycle, the number of rounds in which the first dead node appears, in descending order, is studied: energy-saving routing algorithm (400 rounds) > new geographic cellular structure algorithm (300 rounds) > virtual grid based dynamic routes adjustment algorithm (100 rounds). Under the same experimental round, energy-saving routing algorithm’s remaining energy curve always reaches its maximum. The energy-saving routing algorithm by fuzzy logic constructed by this research institute can significantly improve network energy utilization, which has certain reference value.
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Signal Processing
Reference19 articles.
1. R. Palanikumar, K. Ramasamy, P Srinivasa Ragavan, Faulty node detection and recovery scheme for large-scale wireless sensor network using hosted cuckoo optimization algorithm. Int. J. Commun. Systems. 35(9):51–71 (2022).
2. A. Paul, I. Pandey, Multi-source hybrid energy harvesting wireless sensor network framework for addressing energy unpredictability issues. Int. J. Eng. Res. Afr. 57, 225–241 (2021)
3. A. Seyyedabbasi, G. Dogan, F. Kiani, HEEL: A New Clustering Method to Improve Wireless Sensor Network Lifetime. IET Wireless Sens. Syst, (10)3, 130–136(2020)
4. O.J. Aroba, N. Naicker, T. Adeliyi, C. Marques, An innovative hyperheuristic, Gaussian clustering scheme for Energy-efficient optimization in wireless sensor networks. J Sensors 1, 742–754 (2021)
5. P.S. Sreedharan, D.J. Pete, A fuzzy multicriteria decision-making-based CH selection and hybrid routing protocol for WSN. Int. J. Commun Syst 33(15), 36–58 (2020)