Abstract
Conventional shortest path routing mechanisms in low power and lossy networks (LLNs) impose excessive traffic load on some nodes and cause their early battery depletion. Load balancing via multipath routing is a promising solution to increase lifetime. This idea is practised by some algorithms, mostly through limited number of disjoint paths, to reduce inter-path interference. In this paper a proactive multipath routing algorithm called MRPL is proposed, based on the recent standard routing protocol for LLNs. The algorithm tries to distribute the traffic load through a set of braided paths, with the objective of maximizing the network lifetime and minimizing total transmission cost. The traffic distribution mechanism is formulated by a linear program and a heuristic method is proposed to implement it in a distributed manner. Simulation results provide enough evidence for energy and cost efficiency of the proposed routing mechanism.
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References
Kushulnagar, N., Montenegro, G., & Shumacher, C. (2007). IPv6 over low-power wireless personal area networks (6LoWPANS): Overview, assumptions, problem statement, and goals. RFC4919.
Oliveira, L., de Sousa, A., & Rodrigues, J. (2011). Routing and mobility approaches in IPv6 over LoWPAN mesh networks. International Journal of Communication Systems, 24, 1445–1466. doi:10.1002/dac.1228.
Xiaonan, W., & Shan, Z. (2013). A hierarchical scheme on achieving all-IP communication between WSN and IPv6 networks. International Journal of Communication Systems (AEÜ), 67, 414–425.
Montenegro, G., Kushulnagar, N., Hui, J., & Culler, D. (2007). Transmission of IPv6 packets over IEEE 802.15.4 networks. RFC4944.
Winter, T., & Thubert, P. (2012). Rpl: IPv6 routing protocol for low-power and lossy networks. RFC6550.
Kuruvila, J., Nayak, A., & Stojmenovic, I. (2006). Progress and location based localized power aware routing for ad hoc and sensor wireless networks. International Journal of Distributed Sensor Networks, 2, 147–159. doi:10.1080/155013205002591590.
Zhang, R., Song, Y., Chu, F., & Sheng, B. (2012). Study of wireless sensor networks routing metric for high reliable transmission. Journal of Networks, 7(12), 2044–2050. doi:10.4304/jnw.7.12.2044-2050.
Huang, X., Fang, Y., & Wirel, J. (2007). Multiconstrained QoS multipath routing in wireless sensor networks. Networks, 14, 465–478.
Hassanein, H., & Luo, J. (2006). Reliable energy aware routing in wireless sensor networks. In 2nd IEEE workshop on dependability and security in sensor networks and systems (pp. 54–64). Los Alamitos, CA, USA.
Li, S., Neelisetti, R., Liu, C., & Lim, A. (2010). Efficient multi-path protocol for wireless sensor networks. International Journal of Wireless Mobile Networks, 2, 110–130.
Radi, M., Dezfouli, B., Abu Bakar, K., & Lee, M. (2012). Multipath routing in wireless sensor networks: Survey and research challenges. Sensors, 12, 650. doi:10.3390/s120100650.
Sha, K., Gehlot, J., & Greve, R. (2013). Multipath routing techniques in wireless sensor networks: A survey. Wireless Personal Communications, 70(2), 807–829. doi:10.1007/s11277-012-0723-2.
Felemban, E., Lee, C., & Ekici, E. (2006). MMSPEED: Multipath Multi-SPEED protocol for QoS guarantee of reliability and timeliness in wireless sensor networks. IEEE Transactions on Mobile Computing, 5(6), 738–754.
Medjiah, S., Ahmed, T., & Asgari, A. (2012). Streaming multimedia over WMSNs: An online multipath routing protocol. International Journal of Sensor Networks, 11(1), 10–21.
Li, S., Ma, X., Wang, X., & Tan, M. (2011). Energy-efficient multipath routing in wireless sensor network considering wireless interference. Journal of Control Theory and Applications, 9(1), 127–132. doi:10.1007/s11768-011-0263-4.
Ganesan, D., Govindan, R., Shenker, S., & Estrin, D. (2001). Highly-resilient, energy-efficient multipath routing in wireless sensor networks. SIGMOBILE Mobile Computing and Communications Review, 5(4), 11. doi:10.1145/509506.509514.
Zungeru, A., Ang, L., & Seng, K. (2012). Classical and swarm intelligence based routing protocols for wirelesssensor networks: A survey and comparison. Journal of Network and Computer Applications, 35, 1508–1536.
Saleem, M., Di Caro, G., & Farooq, M. (2011). Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions. Information Sciences, 181, 4597–4624.
Eghbali, A. N., & Dehghan, M. (2007). Load-balancing using multi-path directed diffusion in wireless sensor networks. In Proceedings of the 3rd international conference on mobile ad-hoc and sensor networks, MSN’07 (pp. 44–55). Berlin: Springer.
Tao, M., Lu, D., & Yang, J. (2012). An adaptive energy-aware multi-path routing protocol with load balance for wireless sensor networks. Wireless Personal Communications, 63, 823–846.
Lu, Y., & Wong, V. (2007). An energy-efficient multipath routing protocol for wireless sensor networks. International Journal of Communication Systems, 20, 747–766. doi:10.1002/dac.843.
Teo, J., Ha, Y., & Tham, C. (2008). Interference-minimized multipath routing with congestion control in wireless sensor network for high-rate streaming. IEEE Transactions on Mobile Computing, 7(9), 1124–1137. doi:10.1109/TMC.2008.24.
Anisi, M., Abdullah, A., & Razak, S. (2013). Energy-efficient and reliable data delivery in wireless sensor networks. Wireless Networks, 19(4), 495–505. doi:10.1007/s11276-012-0480-x.
Hou, J., Li, N., & Stojmenović, I. (2005). Handbook of sensor networks: Algorithms and architectures (Wiley), chap. 10: Topology construction and maintenance in wireless sensor networks (p. 315).
Thubert, P. (2012). Objective function zero for the routing protocol for low-power and lossy networks (RPL). Objective function zero for the routing protocol for low-power and lossy networks (RPL). RFC6552.
Mahadevaswamy, U., & Shanmukhaswamy, M. (2012). Delay aware and load balanced multi-path routing in wireless sensor network. International Journal of Wireless Information Networks, 19, 278–285. doi:10.1007/s10776-011-0171-z.
Cheng, W., Xiong, Z., & Liu, W. (2008). Energy-aware load-balaning fault-tolerant routing scheme for ad hoc sensor networks. Journal of Shanghai Jiaotong University (Science), 13(1), 81–85. doi:10.1007/s12204-008-0081-0.
Karkazis, P., Trakadas, P., Leligou, H., Sarakis, L., Papaefstathiou, I., & Zahariadis, T. (2012). Evaluating routing metric composition approaches for QoS differentiation in low power and lossy networks. Wireless Networks, 1–16. doi:10.1007/s11276-012-0532-2.
Gnawali, O., & Levis, P. (2012). The minimum rank with hysteresis objective function. RFC6719.
Vasseur, J., Kim, M., Pister, K., Dejean, N., & Barthel, D. (2012). Routing metrics used for path calculation in low-power and lossy networks. RFC6551.
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Nesary Moghadam, M., Taheri, H. & Karrari, M. Minimum cost load balanced multipath routing protocol for low power and lossy networks. Wireless Netw 20, 2469–2479 (2014). https://doi.org/10.1007/s11276-014-0753-7
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DOI: https://doi.org/10.1007/s11276-014-0753-7