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Comparative Analysis Of Optimized Leach and Modified Leach


Affiliations
1 Department of Electronics and Communications, India
 

Wireless Sensor Networks consists of number of tiny sensor nodes to monitor and track physical or environmental conditions like temperature, pressure. Wireless sensor networks generally characterized by properties like limited power they can harvest, dynamic network topology, large scale of deployment. The main focus was on the analysis of LEACH based on parameter like network lifetime. Some modifications are made in LEACH so as to decrease energy consumption by the nodes and so as to increase network lifetime. Network lifetime is needed to increase so as to get continuous information of a particular area. Proposed algorithm is implemented and it improves the energy consumption by nodes and network lifetime increased. Optimization of LEACH is done using Bacterial Foraging Algorithm to find optimal position of minimum distance node. Comparative analysis of proposed algorithm and optimized LEACH has been done to compare the network lifetime. In proposed algorithm network lifetime has been improved as compared to optimized LEACH.

Keywords

Wireless Sensor Network, Sensor Nodes, Lifetime, BFO, Optimization, Modified Leach.
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  • Comparative Analysis Of Optimized Leach and Modified Leach

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Authors

Harsimranjit Singh Gill
Department of Electronics and Communications, India

Abstract


Wireless Sensor Networks consists of number of tiny sensor nodes to monitor and track physical or environmental conditions like temperature, pressure. Wireless sensor networks generally characterized by properties like limited power they can harvest, dynamic network topology, large scale of deployment. The main focus was on the analysis of LEACH based on parameter like network lifetime. Some modifications are made in LEACH so as to decrease energy consumption by the nodes and so as to increase network lifetime. Network lifetime is needed to increase so as to get continuous information of a particular area. Proposed algorithm is implemented and it improves the energy consumption by nodes and network lifetime increased. Optimization of LEACH is done using Bacterial Foraging Algorithm to find optimal position of minimum distance node. Comparative analysis of proposed algorithm and optimized LEACH has been done to compare the network lifetime. In proposed algorithm network lifetime has been improved as compared to optimized LEACH.

Keywords


Wireless Sensor Network, Sensor Nodes, Lifetime, BFO, Optimization, Modified Leach.