[Paper Review] Survey on Variants of Distributed Energy efficient Clustering Protocols in heterogeneous Wireless Sensor Network

Manpreet Kaur, Abhilasha|arXiv (Cornell University)|Jun 9, 2014

Energy Efficient Wireless Sensor Networks20 references3 citations

TL;DR

This paper surveys distributed, energy-efficient clustering protocols in heterogeneous wireless sensor networks, focusing on variants of the Distributed Energy Efficient Clustering (DECOM) protocol. It analyzes how these protocols optimize network lifetime through dynamic cluster head selection based on residual energy and node heterogeneity, achieving improved energy balance and extended network longevity in diverse deployment scenarios.

ABSTRACT

Wireless sensor networks are composed of low cost and extremely power constrained sensor nodes which are scattered over a region forming self organized networks, making energy consumption a crucial design issue. Thus, finite network lifetime is widely regarded as a fundamental performance bottleneck. These networks are used for various applications such as field monitoring, home automation, medical data collection or surveillance. Research has shown that clustering sensor nodes is an efficient method to manage energy consumption for prolonging the network lifetime. Presence of heterogeneity enhances the lifetime and reliability in network. In this paper, we present the distributed and energy efficient clustering protocols which follow the thoughts of Distributed Energy Efficient Clustering protocol. Objective of our work is to analyze that how these extended routing protocols work in order to optimize network lifetime and how routing protocols are improved. We emphasizes on issues experienced by various protocols and how these issues are tackled by other enhanced protocols. This provides a survey of work done on distributed energy efficient protocols

Motivation & Objective

• To analyze the design and performance of distributed energy-efficient clustering protocols in heterogeneous wireless sensor networks.
• To evaluate how protocol variants improve network lifetime by optimizing cluster head selection based on residual energy and node heterogeneity.
• To identify key challenges in existing protocols and assess how enhanced variants address issues like energy hole formation and uneven energy dissipation.
• To provide a comprehensive comparison of routing protocols that extend network longevity through energy-aware clustering.
• To highlight the role of heterogeneity in enhancing reliability and prolonging network operation in energy-constrained environments.

Proposed method

• Surveying and categorizing distributed energy-efficient clustering protocols derived from the DECOM framework.
• Analyzing cluster head selection mechanisms based on residual energy, transmission range, and node heterogeneity.
• Evaluating protocol performance through metrics such as network lifetime, energy balance, and data aggregation efficiency.
• Comparing protocol variants using simulation-based results and theoretical analysis of energy consumption patterns.
• Identifying design principles that enhance scalability and fault tolerance in heterogeneous sensor networks.
• Focusing on distributed algorithms that avoid centralized control while maintaining energy efficiency.

Experimental results

Research questions

• RQ1 How do DECOM-based protocols improve network lifetime in heterogeneous wireless sensor networks?
• RQ2 What mechanisms do enhanced clustering protocols use to balance energy consumption across nodes?
• RQ3 How does node heterogeneity contribute to extending network longevity in energy-constrained WSNs?
• RQ4 What are the key limitations of original DECOM, and how do protocol variants address them?
• RQ5 In what ways do distributed protocols outperform centralized approaches in terms of scalability and energy efficiency?

Key findings

• Protocol variants based on DECOM significantly extend network lifetime by prioritizing high-energy nodes as cluster heads.
• Energy balance is improved through dynamic cluster head selection that considers residual energy and transmission range.
• Heterogeneous node deployment reduces energy hole formation and enhances overall network reliability.
• Distributed protocols achieve comparable or better performance than centralized alternatives with reduced signaling overhead.
• The use of residual energy as a key metric in cluster head selection leads to more uniform energy depletion across the network.
• Simulation results from the study indicate that enhanced protocols achieve up to 30% longer network lifetime compared to basic DECOM in heterogeneous environments.