Sleep Scheduling Using IEQGOR in Wireless Sensor Networks

International Journal of Computer Science and Engineering

© 2015 by SSRG - IJCSE Journal

Volume 2 Issue 3

Year of Publication : 2015

Authors : B.SenthamilSelvi, S.P.Kavya

10.14445/23488387/IJCSE-V2I3P118

How to Cite?

B.SenthamilSelvi, S.P.Kavya, "Sleep Scheduling Using IEQGOR in Wireless Sensor Networks," SSRG International Journal of Computer Science and Engineering , vol. 2,  no. 3, pp. 16-20, 2015. Crossref, https://doi.org/10.14445/23488387/IJCSE-V2I3P118

Abstract:

QoS routing is an important research issue in wireless sensor networks (WSNs), especially for mission-critical monitoring and surveillance systems which requires timely and reliable data delivery. The existing research suffers from a limitation such as latency, delivery ratio and energy consumption. Based on the analysis and observation, Improved Efficient QoS-aware Geographic opportunistic routing (IEQGOR) has been proposed. IEQGOR integrates awake/asleep schedules, MAC, routing, traffic load balancing and back-to-back packet transmissions. It combines geographic routing, awakeasleep scheduling, and for achieving an energy-efficient data gathering mechanism. It selects the relay node, based on low traffic and link quality. A promising routing scheme in Wireless Sensor Network is shifting toward duty-cycled WSNs in which sensors are sleep scheduled to reduce energy consumption. Nodes alternate between awake/asleep modes according to independent wake-up schedules with fixed duty cycle. The availability of its awake neighbours can be identified by broadcasting an RTS packet for jointly performing channel access and communicating relevant routing information. Available neighbouring nodes respond with clear-to-send (CTS) packet carrying information through which the sender can choose the best relay. Relay selection is performed by preferring neighbours offering “good performance” in forwarding packets. It achieves remarkable delivery ratio, latency and can greatly limit energy consumption.

Keywords:

Wireless sensor network, QoS routing, improved efficient QoS aware geographic opportunistic routing, awake/asleep scheduling, geographic routing.

References:

[1] A.B. Bagula and K.G. Mazandu, ‘‘Energy Constrained Multipath Routing in Wireless Sensor Networks,’’ in Proc. UIC, 2008. 
[2] A. Basalamah, S.M. Kim, S. Guo, T. He, and Y. Tobe, ‘‘Link Correlation Aware Opportunistic Routing’’, in Proc. IEEE INFOCOM, 2012, pp. 3036-3040. 
[3] E.Felemban, C.-G. Lee, and E. Ekici, ‘‘MMSPEED: Multipath Multi-Speed Protocol for QoS Guarantee of Reliability and Timeliness in Wireless Sensor Networks,’’ IEEE Trans. Mobile Comput., vol. 5, no. 6, pp. 738-754, June 2006. 
[4] F. Kuipers and P. VanMieghem, ‘‘Conditions That Impact the Complexity of QoS Routing,’’ IEEE/ACM Trans. Netw., vol. 13, no. 4, pp. 717-730, Aug. 2005. 
[5] I. Stojmenovic, A. Nayak, and J. Kuruvila, ‘‘Design Guidelines for Routing Protocols in Ad Hoc and Sensor Networks with a Realistic Physical Layer,’’ IEEE Commun. Mag., vol. 43, no pp. 101-106, Mar. 2005. 
[6] J. Niu, L. Cheng, Y. Gu, L. Shu, and S.K. Das, ‘‘R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Networks,’’ IEEE Trans. Ind. Informat., vol. 10, no. 1, pp. 784-794, Feb. 2014. 
[7] Yick, B. Mukherjee, and D. Ghosal, ‘‘Wireless Sensor Network Survey,’’ Comput. Netw., vol. 52, no. 12, pp. 2292-2330, Aug. 2008. 
[8] K. Zeng, W. Lou, J. Yang, and D.R. Brown, III, ‘‘On Throughput Efficiency of Geographic Opportunistic Routing in Multihop Wireless Networks,’’ Mobile Netw. Appl., vol. 12, no. 5, pp. 347- 357, Dec. 2007. 
[9] K. Akkaya and M. Younis, ‘‘An Energy-Aware QoS Routing Protocol for Wireless Sensor Networks,’’ in Proc. IEEE ICDCSW,2003, pp. 710-715. 
[10] O. Landsiedel, E. Ghadimi, S. Duquennoy, and M. Johansson,‘‘Low Power, Low Delay: Opportunistic Routing Meets Duty Cycling,’’ in Proc. IPSN, 2012, pp. 185-96.