Computational Intelligence in WSN for Network Life Optimization

Rakesh Kumar Singh, Ajay Kumar Bharti

2021

Abstract

Computational Intelligence (CI) have been increasingly used by researchers in pat years to Solve difficult problems. The sensor networks are controlled by battery and in this way they end up being dead after a specific period. Thus, improving the information exchange in power effective way still stays challenge for expanding the life expectancy of sensor gadgets. It has been demonstrated that the clustering technique could upgrade the life expectancy of WSNs. In the clustering approach, the choice of right cluster head in each cluster has been observed as the most appropriate technique for energy efficiency, which limits the transmission delay in WSN. Much exploration has been done in the recent past to decide an ideal path among source and goal sensor nodes, which will bring about improving the battery power dissipation of a system. The challenge is to design a scheduling algorithm that thinks about the significant issues of limiting power consumption and boosting system lifetime. Different ways of optimization are accessible to decide a proper routing method between a source and sink node. This paper investigates various optimization tools for effective routing in WSN. This article gives us a glimpse of the past investigations in WSN field during the period of 2010–2020. The outcomes listed in this article will guide to research community for bridging the gap in the WSN field and to discover new exploration in this area.

Paper Citation

in Harvard Style

Singh R. and Bharti A. (2021). Computational Intelligence in WSN for Network Life Optimization. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 224-231. DOI: 10.5220/0010567300003161

in Bibtex Style

@conference{icacse21,
author={Rakesh Kumar Singh and Ajay Kumar Bharti},
title={Computational Intelligence in WSN for Network Life Optimization},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={224-231},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010567300003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - Computational Intelligence in WSN for Network Life Optimization
SN - 978-989-758-544-9
AU - Singh R.
AU - Bharti A.
PY - 2021
SP - 224
EP - 231
DO - 10.5220/0010567300003161