4.2 Article

Spatial-Temporal relation-based Energy-Efficient Reliable routing protocol in wireless sensor networks

Journal

INTERNATIONAL JOURNAL OF SENSOR NETWORKS
Volume 5, Issue 3, Pages 129-141

Publisher

INDERSCIENCE ENTERPRISES LTD
DOI: 10.1504/IJSNET.2009.026361

Keywords

energy efficient; multipath routing; reliability; wireless sensor networks

Funding

  1. Canadian Natural Sciences and Engineering Research Council [STPGP 322208-05]
  2. US NSF [ECCS-0802113]
  3. Wireless Internet Center for Advanced Technology (WICAT) at Auburn University
  4. KRCF
  5. Ministry of Knowledge Economy, Korea under the Information Technology Research Center [IITA-2009-C1090-0902-0006]

Ask authors/readers for more resources

Delivering sensory data to the sink reliably in Wireless Sensor Networks (WSNs) calls for a scalable, energy-efficient and error-resilient routing solution. In this paper, a Spatial-Temporal relation-based Energy-Efficient Reliable (STEER) routing protocol is proposed to achieve the above goals. As opposed to the next-hop-selection-first, data-relay-next approach, which is typical in traditional routing protocols in WSNs, STEER reverses these two steps. In STEER, each data packet is relayed by broadcasting, and, among the neighbours (closer to the sink) that receive the data, one next-hop node will be elected. In so doing, eligibility as a next hop is evaluated by temporal gradient, which is similar to backoff for channel access in IEEE 802.11 systems. The value of temporal gradient is determined locally by the spatial information of each neighbour. To quantify the temporal gradient systematically, a spatial-temporal mapping function is proposed. Comprehensive simulations show that STEER performs well to provide efficient and robust routing in highly unreliable WSNs.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.2
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available