Efficient data gathering in partially connected and delay-tolerant wireless sensor networks

  • Authors:
  • Ruiyun Yu;Qiang Chen;Xingwei Wang;Sajal K. Das

  • Affiliations:
  • Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;University of Texas at Arlington, Arlington, TX

  • Venue:
  • Proceedings of the 5th International ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness
  • Year:
  • 2008

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Abstract

Sparse sensor networks have emerged in recent studies. Relaying data with the help of mobile elements seems an effective way to bridge the gaps in such networks. In this paper, we propose the Grid-Based Mobile Element Scheduling (GBMES) approach that schedules a mobile element (ME) to periodically gather data from a partially connected sensor network. The GBMES algorithm performs well on avoiding data loss due to buffer overflow of sensor nodes through reducing the traveling delay of ME, and the data transferring delay at each data gathering point.