Cost-Effective Cluster-Based Energy Efficient Routing for Green Wireless Sensor Network
Background: The green Information and Communications Technologies (ICTs) have brought a revolution in uplifting the technology efficiently to facilitate the human sector in the best possible way. Green Wireless Sensor Network (WSN) tactically focuses on improving the survival period
of deployed nodes (as they have a limited battery) in any target area.
Objective: To address this concern, the main objective is to improve the routing in WSN. The cluster- based routing helps in acquiring the same with the appropriate Cluster Head (CH) selection. The use of energy heterogeneous nodes that normally comprise of high energy nodes, puts a lot of financial burden on the users as they incur a huge cost, thus becoming a bottleneck for the growth of green WSN. Therefore , another objective of the study is to reduce this cost involved in the network.
Methods: A cost-effective routing protocol is proposed that introduces energy-efficient CH selection by incorporating parameters namely, node density, residual energy, the total energy of network and distance factor. Thus, the proposed protocol is termed as Cost-Effective Cluster-based Routing Protocol (CECRP) as it performs remarkably better with only two energy level nodes as compared to state-of-the-art protocols with three levels nodes.
Results: It can be encapsulated from the simulation results that CECRP outperforms state-of-theprotocols on different performance metrics.
Conclusion: Furthermore, it is comprehended from the simulation results that CECRP proves to be 33.33% more cost-effective as compared to the competent protocols, hence CECRP favors the green WSN.
Objective: To address this concern, the main objective is to improve the routing in WSN. The cluster- based routing helps in acquiring the same with the appropriate Cluster Head (CH) selection. The use of energy heterogeneous nodes that normally comprise of high energy nodes, puts a lot of financial burden on the users as they incur a huge cost, thus becoming a bottleneck for the growth of green WSN. Therefore , another objective of the study is to reduce this cost involved in the network.
Methods: A cost-effective routing protocol is proposed that introduces energy-efficient CH selection by incorporating parameters namely, node density, residual energy, the total energy of network and distance factor. Thus, the proposed protocol is termed as Cost-Effective Cluster-based Routing Protocol (CECRP) as it performs remarkably better with only two energy level nodes as compared to state-of-the-art protocols with three levels nodes.
Results: It can be encapsulated from the simulation results that CECRP outperforms state-of-theprotocols on different performance metrics.
Conclusion: Furthermore, it is comprehended from the simulation results that CECRP proves to be 33.33% more cost-effective as compared to the competent protocols, hence CECRP favors the green WSN.
Keywords: CECRP; Cost-effective; SEECP; cluster head selection; cluster-based routing; green WSN
Document Type: Research Article
Publication date: May 1, 2021
- Recent Advances in Computer Science and Communications publishes full-length/mini reviews, research articles and guest edited thematic issues reporting theoretical and experimental advances as well as recent patents in all areas of computer science and communications. A selection of important and recent patents on computer science is also included in the journal. The journal is essential reading for all researchers involved in computer science and in the general areas of communications. Topics of interest include but are not limited to computer graphics, artificial intelligence, cybernetics, hardware architectures, software, modulation, signal design, and detection, information theory with application to communications, cognitive radio, physical layer security, cross-layer design and networking, current and future communication systems such as 4G, 5G, WiFi, etc. The journal also covers recent research (where patents have been registered) in fast emerging computation methods, bioinformatics, medical informatics, theory and methods involved and related to computer science and communications.
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