Network-centric optimal hybrid sensing hole recovery and self-healing in IPV6 WSNs
Kwadwo Asante, Yaw Marfo Missah, Frimpong Twum. Michael Asante

TL;DR
This paper presents a network-centric hybrid mobility approach for IPv6 wireless sensor networks that efficiently detects and heals sensing holes, extending network lifespan through optimized node relocation and self-healing algorithms.
Contribution
It introduces a novel hybrid mobility scenario combined with external network control to improve sensing hole recovery and self-healing in IPv6 WSNs, outperforming existing algorithms.
Findings
Hybrid Mobile IP outperforms SSOA in coverage and recovery speed.
The proposed method reduces energy depletion and computational costs.
Network lifespan is extended through external control of node mobility.
Abstract
In our earlier work, Network-Centric Optimal Hybrid Mobility for IPv6 wireless sensor networks, in which the work sought to control mobility of sensor nodes from an external network was proposed. It was a major improvement on earlier works such as Cluster Sensor Proxy Mobile IPv6 (CSPMIPv6) and Network of Proxies (NoP). In this work, the Network-Centric optimal hybrid mobility scenario was used to detect and fill sensing holes occurring as a result damaged or energy depleted sensing nodes. Various sensor networks self-healing and recovery, and deployment algorithms such as Enhanced Virtual Forces Algorithm with Boundary Forces (EVFA-B); Coverage - Aware Sensor Automation protocol (CASA); Sensor Self-Organizing Algorithm (SSOA); VorLag and the use of the use of anchor and relay nodes were reviewed. With node density thresholds set for various scenarios, the recovery efficiency using…
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