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Author:

Inam, M. (Inam, M..) | Li, Z. (Li, Z..) | Zardari, Z.A. (Zardari, Z.A..)

Indexed by:

Scopus

Abstract:

Wireless sensor networks (WSNs) require an enormous number of sensor nodes (SNs) to maintain processing, sensing, and communication capabilities for monitoring targeted sensing regions. SNs are generally operated by batteries and have a significantly restricted energy consumption; therefore, it is necessary to discover optimization techniques to enhance network lifetime by saving energy. The principal focus is on reducing the energy consumption of packet sharing (transmission and receiving) and improving the network lifespan. To achieve this objective, this paper presents a novel improved energy-efficient cluster-based routing protocol (IECRP) that aims to accomplish this by decreasing the energy consumption in data forwarding and receiving using a clustering technique. Doing so, we successfully increase node energy and network lifetime. In order to confirm the improvement of our algorithm, a simulation is done using matlab, in which analysis and simulation results show that the performance of the proposed algorithm is better than that of two well-known recent benchmarks. © 2021 The Korea Institute of Information and Communication Engineering. All Rights Reserved.

Keyword:

Wireless sensor networks Cluster head IECRP Energy efficiency Residual energy

Author Community:

  • [ 1 ] [Inam M.]Department of Computer Science and Technology, Faculty of Information, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Inam M.]Faculty of Information, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Li Z.]Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Zardari Z.A.]Faculty of Information, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Information and Communication Convergence Engineering

ISSN: 2234-8255

Year: 2021

Issue: 2

Volume: 19

Page: 67-72

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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