A Differentiated Real-Time Routing Protocol Along with Re-Routing Policy in Wireless Sensor Networks

— applications require real-time communication. One of the most important and challenging issues in real-time applications of resource-constrained WSNs is providing end-to-end delay requirement. To address such an issue a few QoS routing protocols have been proposed. Also, in many applications, the delay level required by the data packets is different. In this paper, we focus on building a real-time routing protocol called DRTR which routes packets towards the destination node by classifying data into differentiated classes. DRTR improves real-time performance by means of reducing the packet dropping in routing decisions. It is a power-aware routing protocol which takes into account both power transmission costs and residual energy of routers to achieve power efficiency. Moreover, DRTR employs a new policy called rerouting policy which allows the packets of a specific class to be routed as the packets of a lower/higher real-time class in particular situations.

[1]  Marco Zuniga,et al.  Analyzing the transitional region in low power wireless links , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[2]  Ian F. Akyildiz,et al.  A survey on wireless multimedia sensor networks , 2007, Comput. Networks.

[3]  Chung Shue Chen,et al.  An exploration of geographic routing with k-hop based searching in wireless sensor networks , 2008, 2008 Third International Conference on Communications and Networking in China.

[4]  Wenfeng Li,et al.  A QoS-based Adaptive Clustering Algorithm for Wireless Sensor Networks , 2006, 2006 International Conference on Mechatronics and Automation.

[5]  Chee-Yee Chong,et al.  Sensor networks: evolution, opportunities, and challenges , 2003, Proc. IEEE.

[6]  Li-Ming He A Novel Real-Time Routing Protocol for Wireless Sensor Networks , 2009, 2009 10th ACIS International Conference on Software Engineering, Artificial Intelligences, Networking and Parallel/Distributed Computing.

[7]  Wenjing Lou,et al.  Energy aware efficient geographic routing in lossy wireless sensor networks with environmental energy supply , 2009, Wirel. Networks.

[8]  Chang-Gun Lee,et al.  MMSPEED: multipath Multi-SPEED protocol for QoS guarantee of reliability and. Timeliness in wireless sensor networks , 2006, IEEE Transactions on Mobile Computing.

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

[10]  Miao Pan,et al.  Admission control with multi-constrained QoS providing in Wireless Sensor Networks , 2010, 2010 International Conference on Networking, Sensing and Control (ICNSC).

[11]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..