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EDCOPA : Enhancing DCOPA Protocol by Exploring New Criteria for Improved Clustering

Published: 13 May 2024 Publication History

Abstract

The Internet of Things (IoT) has significantly expanded the connectivity of smart devices, emphasizing the crucial importance of clustering for optimizing device energy, particularly in data communication. The DCOPA protocol is presented as a distributed clustering protocol for data communication in IoT based on Wireless Sensor Networks (WSN). The DCOPA protocol uses competition among network nodes, based on the multicriteria aggregation approach. Residual energy and Distance from a Base Station (DistBS) criteria are used to elect Cluster-Heads (CHs). DCOPA operates in two distinct phases: a Setup phase dedicated to CH designation and a Steady-state phase that includes specific periods for normal nodes and CHs. In this article, we propose an enhancement to the DCOPA protocol called EDCOPA, in which we focus on integrating two additional parameters that can influence and optimize the selection of CHs for increased energy efficiency and a better network lifetime. This improvement preserves the distributed and multicriteria aspects of the protocol. The number of times a given node has assumed the role of CH, as well as the energy consumed in the previous round, have been incorporated into the objective function. Simulation results demonstrate that this integration has significantly improved the network’s lifetime and the energy consumption of both nodes and the entire network.

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Cited By

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  • (2024)Quantitative Scalability of Nodes and Geographical Coverage in LEACH Protocol2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541142(1-8)Online publication date: 24-Apr-2024
  • (2024)Enhanced DCOPA with Security Features for WSN-Based IoT Clustering2024 1st International Conference on Innovative and Intelligent Information Technologies (IC3IT)10.1109/IC3IT63743.2024.10869419(1-6)Online publication date: 3-Dec-2024
  • (2024)A Data Communication Based on Deep Learning Model for Efficient IoT Energy Clustering2024 1st International Conference on Innovative and Intelligent Information Technologies (IC3IT)10.1109/IC3IT63743.2024.10869401(1-6)Online publication date: 3-Dec-2024
  • Show More Cited By

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cover image ACM Other conferences
ICFNDS '23: Proceedings of the 7th International Conference on Future Networks and Distributed Systems
December 2023
808 pages
ISBN:9798400709036
DOI:10.1145/3644713
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 13 May 2024

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Author Tags

  1. Clustering
  2. DCOPA protocol
  3. Energy optimization
  4. IoT
  5. Lifetime.
  6. Multicriteria aggregation
  7. WSN

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Cited By

View all
  • (2024)Quantitative Scalability of Nodes and Geographical Coverage in LEACH Protocol2024 6th International Conference on Pattern Analysis and Intelligent Systems (PAIS)10.1109/PAIS62114.2024.10541142(1-8)Online publication date: 24-Apr-2024
  • (2024)Enhanced DCOPA with Security Features for WSN-Based IoT Clustering2024 1st International Conference on Innovative and Intelligent Information Technologies (IC3IT)10.1109/IC3IT63743.2024.10869419(1-6)Online publication date: 3-Dec-2024
  • (2024)A Data Communication Based on Deep Learning Model for Efficient IoT Energy Clustering2024 1st International Conference on Innovative and Intelligent Information Technologies (IC3IT)10.1109/IC3IT63743.2024.10869401(1-6)Online publication date: 3-Dec-2024
  • (2024)EDCOPA Protocol: Addressing Scalability, High-Density and Load Balancing Challenges in WSN-based IoT2024 1st International Conference on Electrical, Computer, Telecommunication and Energy Technologies (ECTE-Tech)10.1109/ECTE-Tech62477.2024.10851002(1-8)Online publication date: 17-Dec-2024

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