A Reliable Primary-Backup Routing Algorithm in Wireless Sensor Netwrok

Abstract Fault-tolerance is one of important issues in wireless sensor network (WSN) since it is critical in real deployed environments to realize network stability and reduce demand times. In this paper, we propose primary-backup technique by creating a backup path for every sensor on a primary path of data transmission. Especially, we take high reliability path as selected primary or backup path method. The experimental results show that the algorithm not only has the low packet delivery ratio characters, but also ensures the reliability of topology paths and extends the network life-cycle efficiently.

[1]  Lijun Chen,et al.  Topology Evolution of Wireless Sensor Networks among Cluster Heads by Random Walkers: Topology Evolution of Wireless Sensor Networks among Cluster Heads by Random Walkers , 2009 .

[2]  Samir R. Das,et al.  On-demand multipath routing for mobile ad hoc networks , 1999, Proceedings Eight International Conference on Computer Communications and Networks (Cat. No.99EX370).

[3]  Hewijin Christine Jiau,et al.  Detection and diagnosis of data inconsistency failures in wireless sensor networks , 2006, Comput. Networks.

[4]  Paul J. M. Havinga,et al.  Trade-off between traffic overhead and reliability in multipath routing for wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[5]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[6]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[7]  Jorjeta G. Jetcheva,et al.  Adaptive demand-driven multicast routing in multi-hop wireless ad hoc networks , 2001, MobiHoc '01.

[8]  Weipeng Jing,et al.  DECDC: An energy-aware route protocol for wireless sensor networks , 2008, 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics.

[9]  Paolo Santi,et al.  Robust communications for sensor networks in hostile environments , 2004, Twelfth IEEE International Workshop on Quality of Service, 2004. IWQOS 2004..

[10]  Cauligi S. Raghavendra,et al.  PEGASIS: Power-efficient gathering in sensor information systems , 2002, Proceedings, IEEE Aerospace Conference.

[11]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..