International Journal of All Research Education & Scientific Methods

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ISSN: 2455-6211

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Performance Analysis of Low Energy Adaptive C...

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Performance Analysis of Low Energy Adaptive C...

Performance Analysis of Low Energy Adaptive Clustering Routing protocol based on Scalability and Density in Wireless Sensor Networks for IoT Applications

Author Name : Vijaya Gopalrao Rajeshwarkar, Shekhar M Jagade, P.Chandrashekar Reddy

ABSTRACT

Most of the power in wireless sensor nodes will be consumed in operations such as sensing, processing and communication. The lifetime of the network is increased if this energy consumed is minimized to a level. Energy efficient routing protocols can be used to minimize energy consumption and optimize network lifetime. Depending on the application and network architecture, routing protocols in Wireless Sensor Networks (WSNs) may vary. As per the WSN framework, routing protocols are categorized as flat-based, hierarchical (or cluster)-based and location-based protocols. Clustering is one of the way to minimize the energy consumed and enhance network lifetime. This paper presents the work carried out and explains about LEACH protocol in multi dimensional environment by changing the parameters such as network dimensions, number of nodes, sink position, spare and dense deployment of sensor nodes, etc. However, the effect of expandability and volume on the lifetime of WSNs, depending on the distribution of the sensor node, has rarely been studied. The focus in this paper is on understanding the behaviour of LEACH protocol in terms of lifetime, energy consumption, for spare and crowded sensor node deployment. Simulations show how scalability and concentration of sensor nodes distribution effects the lifetime of the WSNs through an energy-efficient hierarchical LEACH protocol. The paper shows comparison of the lifetime of the sensor network with different node concentrations and network dimensions.

Keywords—wireless sensor network, Hierarchical (or cluster) based, energy efficient, network lifetime, spare and crowded sensor nodes.