Research Area:  Wireless Sensor Networks

Abstract:

In this paper, GSA-based Exigency Routing (GSA-ER) and CSA-based Near Exigency Relaying (CSA-NER) models have been proposed that support Multiple SS-based Optimized Cross-layer Routing (MB-OCR) framework. The GSA-ER model uses channel statistics, delivery estimates, cluster population, and energy parameters to shortlist an optimized multi-hop path to the static Base-Station (SS) held responsible for critical data-delivery within WSN. The CSA-NER model defines an optimized route for the mobile-sink (MS) to gather near-exigency support data within the network. With GSA-ER and CSA-NER models employed, the MB-OCR-configured WSN can adhere to the critical data deadlines while also achieve reliability under any unanticipated situation. MB-OCR framework further alleviates the hot-spot problem. As evident from the simulation analysis, MB-OCR outperforms the MS sojourn path based existing frameworks. Furthermore, MB-OCR performance has been investigated for varying critical scenarios to limelight the essence of employing MS and SS in WSN.

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Author(s) Name:  Tanvi Sood & Kanika Sharma

Publisher name:  Springer

DOI:  10.1007/s11277-021-08087-x

Volume Information:  

Paper Link:   https://link.springer.com/article/10.1007/s11277-021-08087-x