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An adaptive opportunistic routing scheme for reliable data delivery in WSNs

Published:26 June 2018Publication History

Editorial Notes

A corrigendum was issued for this article on February 17, 2019. You can download the corrigendum from the supplemental materials section of this citation page.

ABSTRACT

With the emergence of miniature technologies such as sensor nodes powered with limited batteries, many applications came into existence such as detection of mine reconnaissance, pollution monitoring, data gathering from remote locations, etc. Sensor nodes are the necessary components of the wireless sensor networks (WSNs) in which efficient battery consumption by the nodes remains as the major challenge for reliable data communication. The batteries are mostly consumed in communication over long distances, redundant transmissions, in-effective selection of routing path between a source and a destination. This makes energy efficiency one of the core components of routing strategies designed for WSNs. In this paper, we proposed an opportunistic routing scheme for WSNs to ensure the reliable data communication with efficient node battery dissipation. This scheme minimizes the data loss by nominating a set of forwarder nodes, which manages mitigating re-transmissions from the network communication. In order to avoid the duplicate packets at the destination, the nodes are prioritised based on the holding time. To verify and validate the proposed routing scheme, experimental simulations have been conducted to measure energy consumption, packet delivery ratio and end to end delay. The results demonstrate that the proposed scheme outperforms the counterpart schemes under consideration in terms of energy and packet delivery ratio.

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References

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            cover image ACM Other conferences
            ICFNDS '18: Proceedings of the 2nd International Conference on Future Networks and Distributed Systems
            June 2018
            469 pages
            ISBN:9781450364287
            DOI:10.1145/3231053

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            Publication History

            • Published: 26 June 2018

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