CDEIR: Intelligent Routing for Efficient Wireless Sensor Networks Using BUG Algorithm

Wireless Sensor Networks (WSNs) are used to monitor specific areas of the environment by networking multiple sensors and collecting data for analysis. However, due to limited processing capabilities, the collected data needs to be transmitted to a Base Station (BS) that has high computational power...

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Bibliographic Details
Published in:IEEE access 2023, Vol.11, p.72895-72910
Main Authors: Suman Prakash, P., Nagaraju, K., Reddy, A. Vishnuvardhan, Fathimabi, Shaik, Jangam, Ebenezer, Khan, Surbhi Bhatia, Malibari, Areej Abbas
Format: Article
Language:English
Subjects:
Algorithms
Bug algorithm
Clustering algorithms
Computer bugs
Computing time
congestion avoidance
Data collection
Data transmission
delay-aware
Delays
directed spanning tree
Energy consumption
Energy management
energy-efficiency
Graph theory
Heuristic algorithms
Routing
Routing (telecommunications)
Storage capacity
Traffic congestion
Wireless sensor networks
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Summary:Wireless Sensor Networks (WSNs) are used to monitor specific areas of the environment by networking multiple sensors and collecting data for analysis. However, due to limited processing capabilities, the collected data needs to be transmitted to a Base Station (BS) that has high computational power and storage capacity. As SNs are not directly connected to the BS, multihop data transmissions through other SNs are required to reach the BS, which leads to congestion and additional energy consumption. To address these challenges, we propose a novel algorithm called Congestion, Delay, Energy-aware Intelligent Routing (CDEIR) using the BUG algorithm. The CDEIR approach identifies congested nodes using a Directed Spanning Tree and avoids traffic through them by paving an alternate path. This approach minimizes delay and optimizes energy consumption while avoiding congestion, all within a short computational time. We demonstrate the effectiveness of the CDEIR approach through theoretical analyses and simulations.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2023.3295119