Commenced in January 2007
Paper Count: 30848
Energy Efficient Reliable Cooperative Multipath Routing in Wireless Sensor Networks
Abstract:In this paper, a reliable cooperative multipath routing algorithm is proposed for data forwarding in wireless sensor networks (WSNs). In this algorithm, data packets are forwarded towards the base station (BS) through a number of paths, using a set of relay nodes. In addition, the Rayleigh fading model is used to calculate the evaluation metric of links. Here, the quality of reliability is guaranteed by selecting optimal relay set with which the probability of correct packet reception at the BS will exceed a predefined threshold. Therefore, the proposed scheme ensures reliable packet transmission to the BS. Furthermore, in the proposed algorithm, energy efficiency is achieved by energy balancing (i.e. minimizing the energy consumption of the bottleneck node of the routing path) at the same time. This work also demonstrates that the proposed algorithm outperforms existing algorithms in extending longevity of the network, with respect to the quality of reliability. Given this, the obtained results make possible reliable path selection with minimum energy consumption in real time.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1334107Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1321
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 I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. Wireless sensor networks: a survey. Computer Networks, 38:393-422, 2002.
 D. Braginsky and D. Estri. Rumor routing algorithm for sensor networks. In Proceedings of the ACM International Workshop on Wireless Sensor Networks and Applications, pages 22-31, 2002.
 C.-Y. Chong and S. P. Kumar. Sensor networks: Evolution, opportunities and challenges. Proceedings of IEEE, 91(8):1247-1256, 2003.
 D. De Couto, D. Aguayo, J. Bicket, and R. Morris. A highthroughput path metric for multi-hop wireless routing. Wireless Networks, 11(4):419-434, 2005.
 Martin Haenggi. Analysis and design of diversity schemes for ad hoc wireless networks. IEEE Journal on Selected Areas in Communications, 23(1):19-27, 2005.
 W. R. Heinzelman, A. Chandrakasan, and H. Balakrishnan. Energyefficient communication protocol for wireless microsensor networks. In Proceedings of the Hawaii International Conference on System Sciences, pages 1-10, 2000.
 W. R. Heinzelman, J. Kulik, and H. Balakrishnan. Adaptive protocols for information dissemination in wireless sensor networks. In In Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking, pages 174-185, 1999.
 C. Intanagonwiwat, R. Govindan, and D. Estrin. Directed diffusion for wireless sensor networking. IEEE/ACM Transactions on Networking, 11(1):2-16, 2003.
 D. B. Johnson. A routing in ad hoc networks of mobile hosts. In Proceedings of the Workshop on Mobile Computing Systems and Applications, IEEE Computer Society, pages 158-163, 1994.
 S. Lindsey and C. S. Raghavendra. Pegasis: Power efficient gathering in sensor information systems. In Proceedings of the IEEE Aerospace Conference, 3:3.1125-3.1130, 2002.
 C. E. Perkins and P. Bhagwat. Highly dynamic destination-sequenced distance-vector routing (dsdv) for mobile computers. ACM Conference on Communications Architectures, Protocols and Applications, SIGCOMM -94, London, UK, pages 234-244, 1994.
 C. E. Perkins and E. M. Royer. Ad hoc on-demand distance vector routing. In Proceedings of the 2nd IEEE Workshop on Mobile Computing Systems and Applications, pages 90-100, 1999.
 A. Rogers, D. D. Corkill, and N. R. Jennings. Agent technologies for sensor networks. IEEE Intelligent Systems, 24(2):13-17, 2009.
 G. Treplan, L. Tran-Thanh, A. Olah, and J. Levendovszky. Reliable and energy aware routing protocols for wireless sensor networks. In Proceedings of the 17th international conference on Software, Telecommunications and Computer Networks, pages 171-175, 2009.
 M. Z. Zamalloa and B. Krishnamachari. An analysis of unreliability and asymmetry in low-power wireless links. ACM Transactions on Sensor Networks (TOSN), 3(2):1-34, 2007.
 M. Zorzi and R. R. Rao. Geographic random forwarding (geraf) for ad hoc and sensor networks: Multihop performance. IEEE Transactions on Mobile Computing, pages 3948-3952, 2003.