Joint Sensor Selection and Data Routing in Sensor Networks

  • Ozgur Ercetin
  • Ozgur Gurbuz
  • Kerem Bulbul
  • Aylin Aksu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3462)

Abstract

We propose a new joint sensor selection and routing algorithm, which selects a set of sensor nodes (sensing nodes) in a sensor network to take measurements, and determines a set of paths connecting the sensing nodes to the sink node. Our objective is to maximize the network lifetime, while satisfying the data precision required by the user. We first develop a multi-objective optimization model for this problem and design the near-optimal OPT-RE algorithm based on this model for network lifetime maximization. Next, we design a low complexity heuristic called SP-RE. SP-RE first labels the links between the nodes with a metric which trades off the residual energies of the transmitting and receiving nodes with the required transmission and reception energy. Then, SP-RE calculates the shortest paths from all nodes to the sink, and identifies the node which is closest to the sink as a sensing node. This process is repeated until the required data precision is satisfied. We demonstrate by simulations that SP-RE and OPT-RE can increase the network lifetime several orders of magnitude compared to naive approaches.

References

  1. 1.
    Boulis, A., Ganeriwal, S., Srivastava, M.B.: Aggregation in Sensor Networks: An Energy-Accuracy Trade-off. Sensor Network Protocols and Applications. In: SNPA 2003 (May 11, 2003)Google Scholar
  2. 2.
    Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., Anderson, J.: Wireless sensor networks for habitat monitoring. In: Proc. of ACM International Workshop on Wireless Sensor Networks and Applications, WSNA 2002, Atlanta, GA (September 2002)Google Scholar
  3. 3.
    Simic, S.N., Sastry, S.: Distributed Environmental Monitoring Using Random Sensor Networks. In: Proc. of IPSN 2003, Palo Alto, CA (2003)Google Scholar
  4. 4.
    Li, N., Hou, J.C.: Topology Control in Heterogeneous Wireless Networks: Problems and Solutions. In: Proc. IEEE INFOCOM 2004 (March 2004)Google Scholar
  5. 5.
    Narayanaswamy, S., Kawadia, V., Sreenivas, R.S., Kumar, P.R.: Power Control in Ad-Hoc Networks: Theory, Architecture, Algorithm and Implementation of the COMPOW Protocol. In: Proceedings of European Wireless 2002 (2002)Google Scholar
  6. 6.
    Kalpakis, K., Puttagunta, V., Namjoshi, P.: Accuracy Vs Lifetime: Linear Sketches for Appoximate Aggregate Range Queries in Sensor Networks. Department of Computer Science Technical Report, TR CS-04-04, University of Maryland, Baltimore County (2004)Google Scholar
  7. 7.
    Kaplan, E.D. (ed.): Understanding GPS Principles and Applications. Artech House, Norwood (1996)Google Scholar
  8. 8.
    Madden, S., Hellerstein, J., Hong, W.: TinyDB: In-Network Query Processing in TinyOS (September 2003)Google Scholar
  9. 9.
  10. 10.

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ozgur Ercetin
    • 1
  • Ozgur Gurbuz
    • 1
  • Kerem Bulbul
    • 1
  • Aylin Aksu
    • 1
  1. 1.Faculty of EngineeringSabanci UniversityIstanbulTurkey

Personalised recommendations