DMPA–GWO++: A Dynamic Multi-Pack Adaptive Grey Wolf Optimizer for IoT Sensor Network Recovery in Smart Farms

This paper addresses the Sensor Deployment Optimization Problem (SDOP) by presenting a novel hybrid metaheuristic algorithm designed to create resilient and self-healing wireless sensor networks (WSNs).

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Published
2025-12-18
DOI
https://doi.org/10.3390/engproc2025110006
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
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article

DMPA–GWO++: A Dynamic Multi-Pack Adaptive Grey Wolf Optimizer for IoT Sensor Network Recovery in Smart Farms

Kavita Jaiswal, Anshu Kashyap, Lumani Verma, Ketan Sahu
Energy Efficient Wireless Sensor Networks
article

DMPA–GWO++: A Dynamic Multi-Pack Adaptive Grey Wolf Optimizer for IoT Sensor Network Recovery in Smart Farms

Kavita Jaiswal, Anshu Kashyap, Lumani Verma, Ketan Sahu
article en

Abstract

This paper addresses the Sensor Deployment Optimization Problem (SDOP) by presenting a novel hybrid metaheuristic algorithm designed to create resilient and self-healing wireless sensor networks (WSNs).

International Institute of Information Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 34%
Energy Efficient Wireless Sensor Networks
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DMPA–GWO++: A Dynamic Multi-Pack Adaptive Grey Wolf Optimizer for IoT Sensor Network Recovery in Smart Farms — Kavita Jaiswal, Anshu Kashyap, et al. · (2025) | TGRS Research Map | TGRS