A Soft Computing Technique to Optimize Energy Consumption in Wireless Sensor Networks-Reference-Cited by-同舟云学术

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A Soft Computing Technique to Optimize Energy Consumption in Wireless Sensor Networks

Published:2021 Issue: Volume: Page:475-487
ISSN:2367-3370
Container-title:Communication and Intelligent Systems
language:
Short-container-title:

Author:

Sangwan Anupma,Singh Rishi Pal,Popli Garima,Sangwan Anju

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-1089-9_38

Reference12 articles.

1. Anastasi G, Conti M, Di Francesco M, Passarella A (2008) A survey on energy conservation in wireless sensor network. Ad Hoc Netw 7(3):537–568

2. Akyildiz FI, Vuran CM (2010) Wireless sensor networks. Wiley, UK

3. Peiravi A, Rajabi Mashhadi H, Hamed JS (2013) An optimal energy-efficient clustering method in wireless sensor networks using multi-objective genetic algorithm. Int J Commun Syst 26(1):114–126

4. Elhonseny M, Yuan X, Yu Z, Mao C (2014) Balancing energy consumption in heterogeneous wireless sensor networks using genetic algorithm. IEEE Commun Lett 19(12):1–1

5. Fan J, Parish DJ (2007) Using a genetic algorithm to optimize the performance of a wireless sensor network, 1–6

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving Energy Usage in Wireless Sensor Networks by Whale Optimization Algorithm;2021 29th Telecommunications Forum (TELFOR);2021-11-23

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