Energy Efficient Dynamic Routing Protocol for Wireless Sensor Networks

Wireless sensor networks' network lifetime has decreased as a result of the dense sensor deployment, which increases the energy required to carry data from source to destination. The main difficulties in the WSN are caused by factors including node mobility, failed data transfer to the nodes, a...

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Bibliographic Details
Published in2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) pp. 1418 - 1425
Main Authors L, Pavithra, B, Ragavi, D, Nandhini V, N, Saranya, R, Sri AbiramiS
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.08.2023
Subjects
Bit error rate
Energy
Energy consumption
Genetic
Hybridization
QoS
Quality of service
Routing protocols
Scalability
Wireless communication
Wireless Sensor Network
Wireless sensor networks
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Summary:Wireless sensor networks' network lifetime has decreased as a result of the dense sensor deployment, which increases the energy required to carry data from source to destination. The main difficulties in the WSN are caused by factors including node mobility, failed data transfer to the nodes, and fault tolerance. The most popular subjects for quality-of-service (QoS) related issues, including energy consumption, network lifetime, network scalability, and packet overhead, are the routing protocols. The main problem with WSNs is that they experience packet overhead, which increases energy consumption and degrades QoS in sensor networks. Several routing protocols are employed in WSN to enhance network performance. Here, we suggested a brand-new routing protocol for wireless sensor networks that is utilized to control data flow in network operations that are optimized through the base station. The proposed protocol EEDRP combines elements of the DSR routing protocol with the Power Efficient Gathering Sensor Information System (PEGASIS). Additionally, the proposed routing protocol is used to determine energy-efficient optimal pathways through the hybridization of the Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFO). The suggested routing protocol performs better when its performance is analyzed and compared using a hybridization technique, resulting in lower bit error rates, end to end delay, packet delivery ratio, energy consumption, and average route length, all of which improve QoS and extend the life time of the network.
DOI:10.1109/ICAISS58487.2023.10250615