Abstract
Disaster recovery networks (DRN) are prominent is refurbishing communication in disaster prone regions without the support of fixed infrastructures. The network consists of wireless devices that temporarily aid service discovery for effecting communication re-construction. Improving communication rate and non-delay tolerant request processing are challenging tasks in DRN due to the unsynchronized behavior and limited energy of the wireless devices. This manuscript introduces a reliable local decision making (RLDM) technique for improving the efficiency of DRNs. RLDM first classifies the service discovery conditions that are to be satisfied by the forwarding device followed by reliable neighbor selection. Local decision making process refines neighbor selection at the time of neighbor replacement using time-dependent function. The harmonized process of classification and neighbor selection aids to discover optimal neighbors that achieve better request handling. The experimental results prove the stability of the proposed method by achieving higher throughput and device utilization and minimizing transmission delay and overhead.
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This article is part of the Topical Collection: Special Issue on Future Networking Applications Plethora for Smart Cities
Guest Editors: Mohamed Elhoseny, Xiaohui Yuan, and Saru Kumari
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Murry, L., Kumar, R., Tuithung, T. et al. A local decision making technique for reliable service discovery using D2D communications in disaster recovery networks. Peer-to-Peer Netw. Appl. 13, 1131–1141 (2020). https://doi.org/10.1007/s12083-019-00844-x
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DOI: https://doi.org/10.1007/s12083-019-00844-x