A Failure Self-recovery Strategy with Balanced Energy Consumption for Wireless Ad Hoc Networks
Tie Qiu, Wei Wang, Feng Xia, Guowei Wu, Yu Zhou

TL;DR
This paper proposes a self-recovery strategy for wireless sensor networks that uses dynamic cluster head selection and energy balancing techniques to recover from cluster head failures and extend network lifetime.
Contribution
It introduces a novel failure recovery method employing improved simulated annealing and dynamic cluster head re-election to balance energy consumption and prolong network operation.
Findings
Failure recovery effectively restores cluster functionality.
Network lifetime is significantly extended.
Balanced energy consumption reduces node failure rates.
Abstract
In energy constrained wireless sensor networks, it is significant to make full use of the limited energy and maximize the network lifetime even when facing some unexpected situation. In this paper, all sensor nodes are grouped into clusters, and for each cluster, it has a mobile cluster head to manage the whole cluster. We consider an emergent situation that one of the mobile cluster heads is broken down, and hence the whole cluster is consequently out of work. An efficient approach is proposed for recovering the failure cluster by selecting multiple static sensor nodes as the cluster heads to collect packets and transmit them to the sink node. Improved simulated annealing algorithm is utilized to achieve the uniform deployment of the cluster heads. The new cluster heads are dynamically changed in order to keep balanced energy consumption. Among the new cluster heads, packets are…
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Taxonomy
TopicsEnergy Efficient Wireless Sensor Networks · Mobile Ad Hoc Networks · Opportunistic and Delay-Tolerant Networks
