Determination Of Optimal Number Of Clusters In Wireless Sensor Networks
Ravi Tandon

TL;DR
This paper analyzes energy consumption in wireless sensor networks and proposes a non-uniform cluster head election model, UEPEM, which reduces energy usage by about 21% compared to uniform models, especially with more rings.
Contribution
It introduces the UEPEM model that elects cluster heads based on distance, improving energy efficiency over existing uniform models.
Findings
UEPEM reduces energy consumption by 21% compared to EPEM.
Performance of UEPEM improves with more concentric rings.
Non-uniform cluster head election enhances network longevity.
Abstract
Prolonged network lifetime, scalability and efficient load balancing are essential for optimal performance of a wireless sensor network. Clustering provides an effective way of extending the lifetime of a sensor network. Clustering is the process that divides sensor networks into smaller localized group (called clusters) of members with a cluster head. Clustering protocols need to elect optimal number of clusters in hierarchically structured wireless sensor networks. Any clustering scheme that elects clusters uniformly (irrespective of the distance from Base Station) incurs excessive energy usage on clusters proximal and distant to Base Station. In single hop networks a gradual increment in the energy depletion rate is observed as the distance from the cluster head increases. This work focuses on the analysis of wasteful energy consumption within a uniform cluster head election model…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Mobile Ad Hoc Networks · Energy Harvesting in Wireless Networks
