skip to main content
10.1145/2381716.2381780acmotherconferencesArticle/Chapter ViewAbstractPublication PagescubeConference Proceedingsconference-collections
research-article

Multihop/direct forwarding for 3D wireless sensor networks

Authors Info & Claims
Published:03 September 2012Publication History

ABSTRACT

Wireless Sensor Networks (WSNs) are limited in their energy, computation and communication capabilities. Energy efficiency and balancing are the primary challenges for WSNs since the sensor nodes cannot be easily recharged once they are deployed [3]. The data forwarding techniques play an important role in determining the energy consumption of the network. These techniques are employed to transmit the sensed information to the final destination. In this work, we analyze the behavior of one such technique known as Multihop/Direct Forwarding (MDF) [6], when applied to the sensor network deployed in three dimensional fields. The simulation is performed in MATLAB and the results are evaluated extensively against other data forwarding techniques such as Closest Forwarding (CF), Direct Forwarding (DF) and Multihop Forwarding (MF). The results reveal that the MDF scheme in 3D has lesser energy consumption than other data forwarding techniques. Moreover, it effectively balances the consumption of energy among all nodes. The network lifetime is also prolonged in case of MDF compared to other data forwarding techniques when applied in three dimensional fields.

References

  1. Akyildiz. I. F. and Vuran. M. C., "Wireless Sensor Networks," 1st Edition, John Wiley & Sons, Ltd, Chichester, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler and J. Anderson, "Wireless Sensor Networks for Habitat Monitoring", Proc. ACM Workshop on Wireless Sensor Networks and Applications, pp. 88--97, Atlanta (USA), September 2002 Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Warrier, S. Park J. Mina and I. Rheea, "How much energy saving does topology control offer for wireless sensor networks? -- A practical study", Elsevier/ACM Computer Communications, Vol. 30 (14-15), Pp. 2867--2879, 15 October 2007 Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Chang, N. and Liu, M. 2004. Revisiting the TTL-based controlled flooding search: Optimality and randomization. In Proceedings of the 10th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom '04). IEEE, 85--99. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. D. Ganesan, A. Cerpa, W. Ye, Y. Yu, J. Zhao, D. Estrin, "Networking Issues in Wireless Sensor Networks", Journal of Parallel and Distributed Computing, Vol. 64 (2004), pp. 799--814. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Deng, J. 2009. Multihop/Direct Forwarding (MDF) for Static Wireless Sensor Networks. ACM Trans. Sens. Networks, 5, 4, Article 35 (November 2009) Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Feeney, L. M. and Nilsson. 2001. Investigating the energy consumption of a wireless network interface in an ad hoc networking environment. In Proceedings of the 20th Conference of the IEEE Communications Society (Infocom'01). Vol. 3. IEEE, 1548--1557.Google ScholarGoogle ScholarCross RefCross Ref
  8. Gao, J. L. 2002. Analysis of energy consumption for ad hoc wireless sensor networks using a bit-meter-per-joule metric. IPN Progress Report 42-150, California Institute of Technology, Jet Propulsion Lab.Google ScholarGoogle Scholar
  9. G. Simon, M. Maroti, A. Ledeczi, G. Balogh, B. Kusy, A. Nadas, G. Pap, J. Sallai, K. Frampton, "Sensor network-based counter sniper system", In Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems (Sensys), Baltimore, MD, 2004 Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. G. Werner-Allen, K. Lorincz, M. Ruiz, O. Marcillo, J. Johnson, J. Lees, M. Welsh, "Deploying a Wireless SensorNetwork on an Active Volcano", IEEE Internet Computing, Special Issue on Data-Driven Applications in Sensor Networks, March/April 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Heinzelman, W. B., Chandrakasan, A. P., and Balakrishnan, H. 2002. Application-specific protocol architecture for wireless micro sensor networks. IEEE Trans. Wireless. Comm. 1, 4, 660--670. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. J. Li, P. Mohapatra, "Analytical Modeling and Mitigation Techniques for the Energy Hole Problem in Sensor Networks", Pervasive Mobile Computing, 3(3):233--254, June 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Perillo, M., Cheng, Z., and Heinzelman. 2004. on the problem of unbalanced load distribution in wireless sensor networks. In Proceedings of IEEE Workshop on Wireless Ad Hoc and Sensor Networks (GLOBECOM). IEEE, 74--79.Google ScholarGoogle Scholar
  14. Perillo, M., Cheng, Z., and Heinzelman, W. 2005. An analysis of strategies for mitigating the sensor network hot spot problem. In Proceedings of the 2nd Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services. IEEE, 474--478. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. R. Ramanathan and R. Hain, "Topology control of multihop wireless networks using transmit power adjustment," In Proceedings of the Nineteenth International Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM), 2000.Google ScholarGoogle Scholar
  16. Sankar, A. and Liu, Z. 2004. Maximum lifetime routing in wireless ad-hoc networks. In Proceedings of the 23rd Conference of the IEEE Communications Society (Infocom'04). IEEE, 1089--1098Google ScholarGoogle Scholar
  17. V. Rodoplu and T. Meng, "Minimum energy mobile wireless networks," In Proceedings of the IEEE International Conference on Communications, 1998.Google ScholarGoogle Scholar

Index Terms

  1. Multihop/direct forwarding for 3D wireless sensor networks

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      CUBE '12: Proceedings of the CUBE International Information Technology Conference
      September 2012
      879 pages
      ISBN:9781450311854
      DOI:10.1145/2381716

      Copyright © 2012 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 September 2012

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader