Curve-Based greedy routing algorithm for sensor networks

  • Authors:

  • Jin Zhang;Ya-ping Lin;Mu Lin;Ping Li;Si-wang Zhou

  • Affiliations:

  • College of Computer and Communication, Hunan University, Changsha, China;College of Computer and Communication, Hunan University, Changsha, China;College of Mathematics and Econometrics, Hunan University, Changsha, China;College of Computer and Communication, Hunan University, Changsha, China;College of Computer and Communication, Hunan University, Changsha, China

  • Venue:
  • ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
  • Year:
  • 2005

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Abstract

Routing packets along a specified curve is a new approach to forwarding packets in large-scale dense sensor networks. Forwarding packets along trajectories can be very effective in implementing many networking functions when standard bootstrapping or configuration services are not available, as will be the case in sensor networks where nodes are thrown or dropped to form a one-time use network. In this paper, investigating Trajectory-Based Forwarding (TBF), we propose a novel curve-based greedy routing algorithm (CBGR) for sensor networks. In CBGR, by using the location information of a source node and the sink, the source constructs a B-spline curve as forwarding trajectory and encodes the curve into the packets. Upon receiving each packet, the intermediate nodes decode it and construct a simple dynamic forwarding table (DFT) by different greedy forwarding strategies. Then, the packets are forwarded along the selected curve based on DFT. Several greedy forwarding strategies are discussed. CBGR is a distributed routing strategy and easy to implementation. By selecting multiple forwarding curves, CBGR can balance the energy consumption of the nodes effectively. The analysis and simulation also show that CBGR has better performance.