RRDD: Receiver-oriented robust data delivery in mobile sensor networks

Data forwarding in the wireless networks typically employs a sender-oriented approach in which the next hop node is pre-selected based on neighbor or network information. This method incurs large overhead when accurate information is needed for making the optimal forwarding decision. In this paper, a receiver-oriented robust data delivery scheme (RRDD) is proposed for mobile sensor networks. In RRDD, the sender does not appoint a specific forwarder proactively, but allows its neighboring candidates to dynamically contend for the data forwarding task based on local state information. In this way, the best-suited node is elected at each hop to provide robust and efficient delivery service to data packets. Comprehensive simulations show that RRDD exhibits superior transmission performance over all of the compared schemes.

[1]  A. V. Manzhirov,et al.  Handbook of mathematics for engineers and scientists , 2006 .

[2]  Martin Mauve,et al.  A survey on position-based routing in mobile ad hoc networks , 2001, IEEE Netw..

[3]  Sun Limin,et al.  Analysis of Forwarding Mechanisms on Fine-Grain Gradient Sinking Model in WSN , 2008, SIPS 2008.

[4]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[5]  Hongqiang Zhai,et al.  Robust cooperative routing protocol in mobile wireless sensor networks , 2008, IEEE Transactions on Wireless Communications.

[6]  Ahmed Helmy,et al.  The effect of mobility-induced location errors on geographic routing in mobile ad hoc sensor networks: analysis and improvement using mobility prediction , 2004, IEEE Transactions on Mobile Computing.

[7]  Pramod K. Varshney,et al.  A state-free data delivery protocol for multihop wireless sensor networks , 2005, IEEE Wireless Communications and Networking Conference, 2005.

[8]  Pramod K. Varshney,et al.  A survey of void handling techniques for geographic routing in wireless networks , 2007, IEEE Communications Surveys & Tutorials.

[9]  Hongyi Wu,et al.  DFT-MSN: The Delay/Fault-Tolerant Mobile Sensor Network for Pervasive Information Gathering , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[10]  Charles E. Perkins,et al.  Performance comparison of two on-demand routing protocols for ad hoc networks , 2001, IEEE Wirel. Commun..

[11]  Hongyi Wu,et al.  Analytic, Simulation, and Empirical Evaluation of Delay/Fault-Tolerant Mobile Sensor Networks , 2007, IEEE Transactions on Wireless Communications.

[12]  Laurence T. Yang,et al.  Geographic Routing in Wireless Multimedia Sensor Networks , 2008, 2008 Second International Conference on Future Generation Communication and Networking.

[13]  Charles E. Perkins,et al.  Performance comparison of two on-demand routing protocols for ad hoc networks , 2001, IEEE Wirel. Commun..

[14]  David Evans,et al.  Localization for mobile sensor networks , 2004, MobiCom '04.

[15]  Brad Karp,et al.  GPSR : Greedy Perimeter Stateless Routing for Wireless , 2000, MobiCom 2000.

[16]  Ahmed Helmy,et al.  Efficient geographic routing over lossy links in wireless sensor networks , 2008, TOSN.

[17]  Margaret Martonosi,et al.  Implementing software on resource-constrained mobile sensors: experiences with Impala and ZebraNet , 2004, MobiSys '04.

[18]  Junshan Zhang,et al.  Cooperative Geographic Routing in Wireless Sensor Networks , 2006, MILCOM 2006 - 2006 IEEE Military Communications conference.

[19]  Chenyang Lu,et al.  A spatiotemporal communication protocol for wireless sensor networks , 2005, IEEE Transactions on Parallel and Distributed Systems.