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.
Supplemental Material
Available for Download
Corrigendum to "An adaptive opportunistic routing scheme for reliable data delivery in WSNs", by Hasnainr et al., ICFNDS '18, Proceedings of the 2nd International Conference on Future Networks and Distributed Systems, Article 32
- Ahmad, A., Javaid, N., Khan, Z.A., Qasim, U. and Alghamdi, T.A., 2014. (ACH)<sup>2</sup>: Routing Scheme to Maximize Lifetime and Throughput of Wireless Sensor Networks. IEEE Sensors Journal, 14(10), pp.3516--3532.Google ScholarCross Ref
- Ikki, S.S. and Ahmed, M.H., 2011. Performance analysis of cooperative diversity with incremental-best-relay technique over Rayleigh fading channels. IEEE Transactions on Communications, 59(8), pp.2152--2161.Google ScholarCross Ref
- Yang, S., Adeel, U., Tahir, Y. and McCann, J.A., 2017. Practical Opportunistic Data Collection in Wireless Sensor Networks with Mobile Sinks. IEEE Transactions on Mobile Computing, 16(5), pp.1420--1433. Google ScholarDigital Library
- Gao, W. and Cao, G., 2011, April. User-centric data dissemination in disruption tolerant networks. In INFOCOM, 2011 Proceedings IEEE (pp. 3119--3127). IEEE.Google Scholar
- Chen, W., Lea, C.T., He, S. and Xuan Yuan, Z., 2017. Opportunistic Routing and Scheduling for Wireless Networks. IEEE Transactions on Wireless Communications, 16(1), pp.320--331. Google ScholarDigital Library
- Ghadimi, E., Landsiedel, O., Soldati, P., Duquennoy, S. and Johansson, M., 2014. Opportunistic routing in low duty-cycle wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 10(4), p.67. Google ScholarDigital Library
- Venugopal, K.R., Iyengar, S.S. and Patnaik, L.M., 2017. LR3: Link Reliable Reactive Routing Protocol for Wireless Sensor Networks. International Journal of Computer Applications, 157(9).Google Scholar
- Brar, G.S., Rani, S., Chopra, V., Malhotra, R., Song, H. and Ahmed, S.H., 2016. Energy efficient direction-based PDORP routing protocol for WSN. IEEE Access, 4, pp.3182--3194.Google ScholarCross Ref
- Hoang, D.C., Yadav, P., Kumar, R. and Panda, S.K., 2014. Real-time implementation of a harmony search algorithm-based clustering protocol for energy-efficient wireless sensor networks. IEEE transactions on industrial informatics, 10(1), pp.774--783.Google Scholar
- Lin, H., Wang, L. and Kong, R., 2015. Energy efficient clustering protocol for large-scale sensor networks. IEEE Sensors Journal, 15(12), pp.7150--7160.Google ScholarCross Ref
- Quang, P.T.A. and Kim, D.S., 2012. Enhancing real-time delivery of gradient routing for industrial wireless sensor networks. IEEE Transactions on Industrial Informatics, 8(1), pp.61--68.Google ScholarCross Ref
- Shah, R.C., Wietholter, S., Wolisz, A. and Rabaey, J.M., 2005, March. When does opportunistic routing make sense?. In Pervasive Computing and Communications Workshops, 2005. PerCom 2005 Workshops. Third IEEE International Conference on (pp. 350--356). IEEE. Google ScholarDigital Library
- Fonseca, R., Gnawali, O., Jamieson, K. and Levis, P., 2007, November. Four-Bit Wireless Link Estimation. In HotNets.Google Scholar
- Zorzi, M. and Rao, R.R., 2003. Geographic random forwarding (GeRaF) for ad hoc and sensor networks: energy and latency performance. IEEE Transactions on Mobile Computing, 2(4), pp.349--365. Google ScholarDigital Library
- Pradittasnee, L., Camtepe, S. and Tian, Y.C., 2017. Efficient route update and maintenance for reliable routing in large-scale sensor networks. IEEE Transactions on Industrial Informatics, 13(1), pp.144--156.Google ScholarCross Ref
- Abdelhakim, M., Liang, Y. and Li, T., 2016. Mobile coordinated wireless sensor network: An energy efficient scheme for real-time transmissions. IEEE Journal on Selected Areas in Communications, 34(5), pp.1663--1675.Google ScholarCross Ref
- Lu, Z., Wen, Y., Fan, R., Tan, S.L. and Biswas, J., 2013. Toward efficient distributed algorithms for in-network binary operator tree placement in wireless sensor networks. IEEE Journal on Selected Areas in Communications, 31(4), pp.743--755.Google ScholarCross Ref
- Wang, C.F., Shih, J.D., Pan, B.H. and Wu, T.Y., 2014. A network lifetime enhancement method for sink relocation and its analysis in wireless sensor networks. IEEE sensors journal, 14(6), pp.1932--1943.Google Scholar
- Takaishi, D., Nishiyama, H., Kato, N. and Miura, R., 2014. Toward energy efficient big data gathering in densely distributed sensor networks. IEEE Transactions on Emerging Topics in Computing, 2(3), pp.388--397.Google ScholarCross Ref
- Madhumathy, P. and Sivakumar, D., 2014. Enabling energy efficient sensory data collection using multiple mobile sink. China Communications, 11(10), pp.29--37.Google ScholarCross Ref
- Han, K., Luo, J., Xiang, L., Xiao, M. and Huang, L., 2015. Achieving energy efficiency and reliability for data dissemination in duty-cycled WSNs. IEEE/ACM Transactions on Networking (TON), 23(4), pp.1041--1052. Google ScholarDigital Library
- Cao, Q., Abdelzaher, T., He, T. and Kravets, R., 2007, May. Cluster-based forwarding for reliable end-to-end delivery in wireless sensor networks. In INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE (pp. 1928--1936). IEEE. Google ScholarDigital Library
- Huang, X., Zhai, H. and Fang, Y., 2008. Robust cooperative routing protocol in mobile wireless sensor networks. IEEE transactions on wireless communications, 7(12), pp.5278--5285. Google ScholarDigital Library
- Xue, L., Guan, X., Liu, Z. and Yang, B., 2014. TREE: Routing strategy with guarantee of QoS for industrial wireless sensor networks. International Journal of Communication Systems, 27(3), pp.459--481. Google ScholarDigital Library
- Li, Y., Chen, C.S., Song, Y.Q., Wang, Z. and Sun, Y., 2009. Enhancing real-time delivery in wireless sensor networks with two-hop information. IEEE Transactions on industrial informatics, 5(2), pp.113--122.Google ScholarCross Ref
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- An adaptive opportunistic routing scheme for reliable data delivery in WSNs
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