A QoS Aware Three Way Point Rule based Fusion of Earth Worm and Deer Hunt Optimization Routing in Wireless Sensor Network

Wireless Sensor Networks (WSN) have become one of the most demanding factors. The major problem in network-related QoS is obtaining a route that fulfils numerous constraints such as latency, throughput maximization, packet delivery ratio (PDR), network lifetime, connection quality, and minimum energ...

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Bibliographic Details
Published in:Wireless personal communications 2023, Vol.128 (2), p.1193-1215
Main Authors: Christopher, V. Bibin, Sajan, R. Isaac, Akhila, T. S., Kavitha, M. Joselin
Format: Article
Language:English
Subjects:
Communication
Communications Engineering
Computer Communication Networks
Earth
Energy consumption
Engineering
Network latency
Networks
Nodes
Optimization
Quality of service architectures
Route selection
Signal,Image and Speech Processing
Wireless networks
Wireless sensor networks
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Summary:Wireless Sensor Networks (WSN) have become one of the most demanding factors. The major problem in network-related QoS is obtaining a route that fulfils numerous constraints such as latency, throughput maximization, packet delivery ratio (PDR), network lifetime, connection quality, and minimum energy consumption. However, the route selection and QoS requirements need to be addressed in the WSN. To incorporate these issues, we proposed a Three Way Point Rule based Fusion of Earth worm and Deer Hunt optimization Routing (TREDHO) to provide quality communication in WSN. The model consists of setup stage and the communication stage. The setup stage contains network structure and node movement; the network structure is divided into small triangles. In the node movement phase, the route connection is based on movement and random factors. The communication phase consists of route discovery, the fusion of Earth worm and Deer Hunt optimization (EW-DHO) are used for optimal route selection by considering three way point rules. The packet is transmitted from the source node to the target depending on the estimated path. The effectiveness of TREDHO is estimated by comparing its performance with the state-of-the art method in terms of throughput, PDR, delay, energy consumption, and network lifetime.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-022-09995-2