Original scientific paper
https://doi.org/10.1080/00051144.2023.2246242
Energy efficient optimal hop transmission using minimum power least cost algorithm in cooperative routing for wireless sensor network
K. Immanuvel Arokia James
; Department of Information Technology, Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College, Chennai, Tamilnadu, India
P. Manjula
; Department of Applied Machine Learning, Saveetha School of Engineering, Saveetha Institute of Technical and Medical Sciences (SIMATS), Chennai, Tamilnadu, India
G. Guga Priya
; School of Electronics Engineering, Vellore Institute of Technology, Chennai, Tamilnadu, India
A. Karthikeyan
; Department of Electronics and Communication Engineering, Vel Tech Multi Tech Dr Rangarajan Dr Sakunthala Engineering College, Chennai, Tamilnadu, India
Abstract
Cooperative communication has gained a lot of popularity recently. Through a variety of shortest path methods, this article's paradigm may efficiently reduce the amount of power consumed and hop transmission. In this research, we construct the Minimum Power Least Cost Routing (MPLCR) algorithm and evaluate its performance. The design of the proposed algorithm took into account link computation, sequential scanning algorithm approach, and balance (residual) energy. To prevent connection failures and lessen network traffic, the link calculation is used to choose the best route (relay node). In order to reduce network power consumption, a sequential scanning technique was used to find the shortest path with the fewest hops. And also discuss relay nodes and their characteristics in order to improve the transmission stream's quality of service. An ideal path is one that ensures end-to-end transmission while using the least amount of transmitted power. The minimum power least cost routing algorithm uses cooperative communications to help build the smallest power route. When compared to the current algorithms, the proposed approach uses less energy by more than 30%.
Keywords
Cooperative routing; optimal route transmission; energy balancing; hop transmission; QoS
Hrčak ID:
315982
URI
Publication date:
15.8.2023.
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