UASPAR: Utility-Based Adaptive Sensor Placement and Reconfiguration for Energy-Efficient Wireless Sensor Networks

This work presents a utility-based adaptive sensor placement and reconfiguration (UASPAR) approach designed to optimize sensor node (SN) allocation and dynamic reconfiguration for energy-efficient wireless sensor networks (WSNs). UASPAR employs a utility-driven strategy to assign SNs to specific reg...

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Bibliographic Details
Published in:IEEE sensors journal Vol. 25; no. 17; pp. 33986 - 33999
Main Authors: Sheth, Chaitanya, Devmurari, Kandarp, Kumar, Manish, Rajput, Kunwar Pritiraj
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Clustering algorithms
Constraints
Data transmission
Energy
Energy consumption
Energy efficiency
Energy levels
Energy management
Energy states
Heuristic algorithms
Intelligent sensors
network coverage
network lifetime
Nodes
Optimization
Placement
Reconfiguration
Residual energy
Resource management
Routing
Sensors
Thresholds
throughput
Transmission efficiency
utility function
wireless sensor network (WSN)
Wireless sensor networks
ISSN:1530-437X, 1558-1748
Online Access:Get full text
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Summary:This work presents a utility-based adaptive sensor placement and reconfiguration (UASPAR) approach designed to optimize sensor node (SN) allocation and dynamic reconfiguration for energy-efficient wireless sensor networks (WSNs). UASPAR employs a utility-driven strategy to assign SNs to specific regions, aiming to achieve optimal coverage while maintaining network balance. The proposed utility function incorporates key parameters such as residual energy, proximity to the base station (BS), and energy offset, defined as the deviation of an SN's energy level from the network's average energy. The WSN is structured using concentric circular annular regions, with each region initialized with predefined utility thresholds and capacity constraints. SNs surpassing these thresholds and meeting the constraints are strategically placed to minimize node failures and prevent inactive network zones. This adaptive mechanism ensures energy-aware placement and maintains network longevity. Extensive simulations validate the effectiveness of UASPAR in comparison with existing state-of-the-art techniques. Results indicate that UASPAR reduces node mortality by over 30%, decreases energy depletion by more than 35%, and improves throughput and data transmission efficiency by over 25%. These improvements collectively contribute to enhanced energy management, prolonged network lifetime, and superior overall performance, making UASPAR a promising solution for sustainable WSN deployment.
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2025.3590153