International Journal of Advanced Networking and Applications

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Enhanced Particle Swarm Optimization based Load Balancing with Geographic Routing using Greedy Perimeter Stateless Routing (EPSOGPSR) for Underwater Wireless Sensor Networks (UWSNs)


Affiliations
1 Assistant Professor (SG), Department of Computer Science, Nehru Arts and Science College, Coimbatore, India
2 Assistant Professor, Department of Information Technology, Nehru Arts and Science College, Coimbatore, India
 

EPSO-GPSR (Enhanced Particle Swarm Optimization-based Load Balancing with Geographic Routing using Greedy Perimeter Stateless Routing), a unique strategy designed specifically for WSNs, is presented in this work. Using Enhanced Particle Swarm Optimization (EPSO) to provide load balancing across sensor nodes, the proposed EPSO-GPSR technique reduces energy disparities and increases the operational lifetime of the network. Additionally, it interfaces with the geographic routing protocol Greedy Perimeter Stateless Routing (GPSR) to enable effective data forwarding based on geographic locations, minimizing communication overhead and improving scalability. EPSO-GPSR's efficacy is shown against traditional load balancing and routing methods via comprehensive simulations and performance assessments. The network lifetime, energy efficiency, throughput, packet delivery ratio, and delay have all significantly showed better performance, according to the results. Additionally, the EPSO-GPSR algorithm demonstrates robustness against node failures and issues related to scalability, indicating a significant potential for real-world implementation in various WSN scenarios.

Keywords

Underwater Wireless Sensor Networks, load balancing, network lifetime, throughput, delay, packet delivery ratio, routing, greedy perimeter, stateless routing.
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  • Enhanced Particle Swarm Optimization based Load Balancing with Geographic Routing using Greedy Perimeter Stateless Routing (EPSOGPSR) for Underwater Wireless Sensor Networks (UWSNs)

Abstract Views: 44  |  PDF Views: 1

Authors

B. Narasimhan
Assistant Professor (SG), Department of Computer Science, Nehru Arts and Science College, Coimbatore, India
B. Karthikeyan
Assistant Professor, Department of Information Technology, Nehru Arts and Science College, Coimbatore, India

Abstract


EPSO-GPSR (Enhanced Particle Swarm Optimization-based Load Balancing with Geographic Routing using Greedy Perimeter Stateless Routing), a unique strategy designed specifically for WSNs, is presented in this work. Using Enhanced Particle Swarm Optimization (EPSO) to provide load balancing across sensor nodes, the proposed EPSO-GPSR technique reduces energy disparities and increases the operational lifetime of the network. Additionally, it interfaces with the geographic routing protocol Greedy Perimeter Stateless Routing (GPSR) to enable effective data forwarding based on geographic locations, minimizing communication overhead and improving scalability. EPSO-GPSR's efficacy is shown against traditional load balancing and routing methods via comprehensive simulations and performance assessments. The network lifetime, energy efficiency, throughput, packet delivery ratio, and delay have all significantly showed better performance, according to the results. Additionally, the EPSO-GPSR algorithm demonstrates robustness against node failures and issues related to scalability, indicating a significant potential for real-world implementation in various WSN scenarios.

Keywords


Underwater Wireless Sensor Networks, load balancing, network lifetime, throughput, delay, packet delivery ratio, routing, greedy perimeter, stateless routing.

References