Design of Modified LEACH(Low Energy Adaptive Clustering hierarchy) Protocol for Wireless Sensor Networks

Chavali, Sai Prakash (2018) Design of Modified LEACH(Low Energy Adaptive Clustering hierarchy) Protocol for Wireless Sensor Networks. MTech thesis.

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In Wireless Sensor Networks,the network lifespan is affected by the energy utilization of each node, more than the utilization of energy rises more than the lifespan of the network falls, so to prolong the network lifetime needs a protocol which minimizes the power utilization of sending or receiption of data by the sensor nodes. Recently much study is carried out to prolong the network lifetime. To handle with this, the hierarchical protocols developed to minimize the traffic of network toward the sink and hence increase the lifespan of the network. Out of these, clustering algorithms have increased more significance, in maximizing the lifetime of the WSN, due to their method in cluster head selection and data aggregation. In this work, the main focus is mostly over the review of the energy-efficient utilizing hierarchical cluster-based approach notably LEACH (Low Energy Adaptive Clustering Hierarchy) protocol, in order to suggest a new approach to prolong the lifetime of the network. Even 18 years of existence, LEACH protocol is as yet picking up the consideration of research group working in the field of WSN. Broad work has already been done associated with LEACH and variants of LEACH protocol are presently accessible from single hop to multi-hop scenarios. Our approach is to preserve energy utilization when sending data to the Base Station (BS) to reduce the number of dead nodes. We estimated the performance of the LEACH protocol with our recommended approach simulated, the results of our method are demonstrated by the simulation results using Network Simulator NS2.

Item Type:Thesis (MTech)
Uncontrolled Keywords:WSN; LEACH; Hierarchical protocols; Cluster based approach; NS2.
Subjects:Engineering and Technology > Computer and Information Science > Wireless Local Area Network
Divisions: Engineering and Technology > Department of Computer Science Engineering
ID Code:9629
Deposited By:IR Staff BPCL
Deposited On:27 Mar 2019 17:03
Last Modified:27 Mar 2019 17:03
Supervisor(s):Chinara, Suchismita

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