Journal of Heuristics

, Volume 21, Issue 2, pp 233–256 | Cite as

Improved structures for data collection in static and mobile wireless sensor networks

  • Jon Crowcroft
  • Michael Segal
  • Liron Levin


In this paper we consider the problem of efficient data gathering in sensor networks for arbitrary sensor node deployments. The efficiency of the solution is measured by a number of criteria: total energy consumption, total transport capacity, latency and quality of the transmissions. We present a number of different constructions with various tradeoffs between aforementioned parameters. We provide theoretical performance analysis for our approaches, present their distributed implementation and discuss the different aspects of using each. We show that in many cases our output-sensitive approximation solution performs better than the currently known best results for sensor networks. We also consider our problem under the mobile sensor nodes environment, when the sensors have no information about each other. The only information a single sensor holds is its current location and future mobility plan. Our simulation results validate the theoretical findings.


Wireless sensor networks Optimization algorithms Approximation guarantees Data gathering 



The authors thank to Engineering and Physical Sciences Research Council (EPSRC), United Kingdom for providing support to the work on this paper and to the reviewers for their helpful comments.


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Computer LaboratoryCambridge UniversityCambridgeUK
  2. 2.Department of Communication Systems EngineeringBen-Gurion University of the NegevBeershebaIsreal

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