Battery Lifetime Enhancement in Wireless Sensor Networks using Artificial Intelligence Techniques

Author:

Irfan S.1,Ramesh K.S.2,Kumar N. Swaroop3,Maheswary A.4

Affiliation:

1. KIOT, Wollo Universoty,Dept. of ECE,Kombolcha,Ethiopia

2. KLEF, Vaddeswaram,Dept. of ECE,Guntur,A.P,India

3. Siddharth Institute of Science and Technology,ECE,Puttur,A.P

4. Sree Venkateswara College of Engineering and Technology,ECE,Chittoor,A.P

Publisher

IEEE

Reference30 articles.

1. ACNM: Advance coupling network model sleep/awake mechanism for Wireless Sensor Networks;mohammad;International Journal of Engineering and Technology(UAE),2018

2. Embedding Brain with Smart Devices Using Depreciated Technology;shweta;International Journal of Emerging Technologies in Computational and Applied Sciences,2014

3. Performance analysis and lifetime estimation of wireless technologies for WSN (Wireless sensor networks) /IoT (internet of things) application;prabu;Journal of Advanced Research in Dynamical and Control Systems,2019

4. Improving Wireless Sensor Network Lifetime through Power Aware Organization;cardei;Wireless Networks,2005

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