Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm
| العنوان: | Cluster Head Selection in Heterogeneous Wireless Sensor Network Using a New Evolutionary Algorithm |
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| المؤلفون: | Manmohan Singh, Ashwani Kumar Aggarwal, Sumika Chauhan |
| المصدر: | Wireless Personal Communications. 119:585-616 |
| بيانات النشر: | Springer Science and Business Media LLC, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Optimization problem, Fitness function, Computer science, Distributed computing, Evolutionary algorithm, 020206 networking & telecommunications, Throughput, 02 engineering and technology, Computer Science Applications, Sensor node, Computer Science::Networking and Internet Architecture, 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Electrical and Electronic Engineering, Wireless sensor network, Selection (genetic algorithm) |
| الوصف: | In wireless sensor network (WSN), limited energy resources with the nodes is a complex challenge as far as data routing, collecting and aggregating the data is concerned as all these processes are energy demanding. Network lifetime, stability period, and potential of the WSN are some of the parameters which are to be maximized subject to the constraints. The cluster head selection in the heterogeneous wireless sensor network has not been explored much and needs to be improved further to discover the potential of WSN in this area. In this study, optimal cluster head selection in heterogeneous wireless sensor network through Diversity-Driven Multi-Parent Evolutionary Algorithm with Adaptive Non-Uniform Mutation has been suggested. The efficacy of the proposed technique is tested on Classical Benchmark Functions, and obtained results are compared with the state of the art of algorithms. This algorithm is also validated on a heterogeneous wireless sensor network with cluster head selection as a multi-objective optimization problem. The residual energy of sensor node and distance travelled are to be optimized in order to minimize the fitness function. Simulation suggested that the proposed algorithm is found to be reliable and outperforms in terms of remaining energy of nodes, alive nodes versus round, dead nodes versus rounds, the lifespan of network, throughput, and stability period. |
| تدمد: | 1572-834X 0929-6212 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::ad5cb90f157bfefaeb37347c834c941c https://doi.org/10.1007/s11277-021-08225-5 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........ad5cb90f157bfefaeb37347c834c941c |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 1572834X 09296212 |
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