Genetic-fuzzy based load balanced protocol for WSNs
| Autor: | Sushil Kumar, Pankaj Kumar Kashyap |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Soft computing
Mathematical optimization Fitness function General Computer Science Computer science Network packet Energy consumption Load balancing (computing) Fuzzy logic Inter-clustering routing Genetic algorithm A*(A-star routing) Fuzzy logic inference system Electrical and Electronic Engineering Cluster analysis Wireless sensor network Load balancing |
| Popis: | Recent advancement in wireless sensor networks primarily depends upon energy constraint. Clustering is the most effective energy-efficient technique to provide robust, fault-tolerant and also enhance network lifetime and coverage. Selection of optimal number of cluster heads and balancing the load of cluster heads are most challenging issues. Evolutionary based approach and soft computing approach are best suitable for counter the above problems rather than mathematical approach. In this paper we propose hybrid technique where Genetic algorithm is used for the selection of optimal number of cluster heads and their fitness value of chromosome to give optimal number of cluster head and minimizing the energy consumption is provided with the help of fuzzy logic approach. Finally cluster heads uses multi-hop routing based on A*(A-star) algorithm to send aggregated data to base station which additionally balance the load. Comparative study among LEACH, CHEF, LEACH-ERE, GAEEP shows that our proposed algorithm outperform in the area of total energy consumption with various rounds and network lifetime, number of node alive versus rounds and packet delivery or packet drop ratio over the rounds, also able to balances the load at cluster head. |
| Databáze: | OpenAIRE |
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