JOURNAL ARTICLE

Heterogeneous wireless sensor networks clustering and energy efficient routing optimization algorithm

C. Ashok KumarV. Syam Babu

Year: 2021 Journal:   AIP conference proceedings Vol: 2407 Pages: 020021-020021   Publisher: American Institute of Physics

Abstract

It has been found existing techniques to determine the stress of the soil and processes that are suitable for evaluating a number of variables in a short period of time, and they can react quickly to reveal stress changes in their operation (WSN). "The life span and the work efficiency are inextricably linked." See if you can decrease the network loss by any means other than by using a rational and balanced clusters and interconnecting the clusters. Today's increased demand for WSN has made it more important to consider life cycle lifetime performance, but there has also been an increase in their focus on the original cycle life cycle of the protocol. In the transmission stage, the hybrid mode is used, as well as energies on the previous hops and between the nodes being measured the election of next-hop nodes also has full support. By introducing an uneven clustering mechanism and optimising the competition zone's cluster radius, the simulation shows a significant improvement in data retention and transmission time.

Keywords:
Computer science Cluster analysis Wireless sensor network Computer network Routing (electronic design automation) Wireless Key distribution in wireless sensor networks Dynamic Source Routing Distributed computing Wireless network Routing protocol Telecommunications Artificial intelligence

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Topics

Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Security in Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications

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