Personal and Ubiquitous Computing

, Volume 17, Issue 5, pp 1025–1034 | Cite as

Towards augmenting federated wireless sensor networks in forestry applications

  • Fadi M. Al-Turjman
  • Hossam Hassanein
  • Sharief Oteafy
  • Waleed Alsalih
Original Article

Abstract

Environmental Monitoring (EM) has witnessed significant improvements in recent years due to the great utility of wireless sensor networks (WSNs). Nevertheless, due to harsh operational conditions in such applications, WSNs often suffer large-scale damage in which nodes fail concurrently and the network gets partitioned into disjoint sectors. Thus, reestablishing connectivity between the sectors, via their remaining functional nodes, is of utmost importance in EM, especially in forestry. In this regard, considerable work has been proposed in the literature tackling this problem by deploying Relay Nodes (RNs) aimed at reestablishing connectivity. Although finding the minimum relay count and positions is NP-Hard, efficient heuristic approaches have been anticipated. However, the majority of these approaches ignore the surrounding environment characteristics and the infinite 3-dimensional (3-D) search space that significantly degrades network performance in practice. Therefore, we propose a 3-D grid-based deployment for RNs in which the relays are efficiently placed on grid vertices. We present a novel approach, named fixing augmented network damage intelligently, based on a minimum spanning tree construction to re-connect the disjointed WSN sectors. The performance of the proposed approach is validated and assessed through extensive simulations, and comparisons with two main stream approaches are presented. Our protocol outperforms the related work in terms of the average relay node count and distribution, the scalability of the federated WSNs in large-scale applications, and the robustness of the topologies formed.

Keywords

Wireless sensor network Sparse connectivity Relay placement Grid deployment Environmental applications 

Abbreviations

WSN

Wireless sensor network

RNs

Relay nodes

EM

Environmental monitoring

FADI

Fixing augmented network damage intelligently

MEMS

Micro-electromechanical systems

MST

Minimum spanning tree

BS

Base station

GUPS

Grid unit potential set

MGUPS

Maximal GUPS

TtP

Time to partition

ND

Node density

PoF

Probability of failure

SwMSP

Steiner with minimum steiner points

MSTA

Minimum spanning tree approach

CC

Connected component

Notes

Acknowledgments

This research is funded by a grant from the Ontario Ministry of Economic Development and Innovation under the Ontario Research Fund-Research Excellence (ORF-RE) program. This research is also sponsored by the National Plan for Science and Technology at King Saud University, Project number: 11-INF1500-02.

References

  1. 1.
    Younis M, Akkaya K (2008) Strategies and techniques for node placement in wireless sensor networks: a survey. Elsevier Ad Hoc Netw J 6(4):621–655CrossRefGoogle Scholar
  2. 2.
    Hughes D, Greenwood P, Coulson G, Blair G, Pappenberger G, Smith F, Beven K (2006) An intelligent and adaptable flood monitoring and warning system. In: Proceedings of the UK E-Science All Hands Meeting (AHM’06), Nottingham, UKGoogle Scholar
  3. 3.
    Li N, Hou J (2005) Improving connectivity of wireless ad hoc networks. In: Proceedings of the IEEE International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous), San Diego, CA, pp 314–324Google Scholar
  4. 4.
    Abbasi A, Baroudi U, Younis M, Akkaya K (2009) C2AM: an algorithm for application-aware movement-assisted recovery in wireless sensor and actor networks. In: Proceedings of the ACM Wireless Communications and Mobile Computing Conference (IWCMC), Leipzig, pp 655–659Google Scholar
  5. 5.
    Rappaport T (2002) Wireless communications: principles and practice, 2nd edn. Prentice Hall, Upper Saddle RiverGoogle Scholar
  6. 6.
    Kim Y, Jeong S, Kim D, Lopez TS (2009) An efficient scheme of target classification and information fusion in wireless sensor networks. J Pers Ubiquitous Comput 13(7):499–508CrossRefGoogle Scholar
  7. 7.
    Lloyd E, Xue G (2007) Relay node placement in wireless sensor networks. IEEE Trans Comput 56(1):134–138MathSciNetCrossRefGoogle Scholar
  8. 8.
    Cheng X, Du D, Wang L, Xu B (2008) Relay sensor placement in wireless sensor networks. Wireless Netw 14(3):347–355CrossRefGoogle Scholar
  9. 9.
    Xu K, Hassanein H, Takahara G, Wang Q (2010) Relay node deployment strategies in heterogeneous wireless sensor networks. IEEE Trans Mob Comput 9(2):145–159CrossRefGoogle Scholar
  10. 10.
    Abbasi A, Younis M, Akkaya K (2009) Movement-assisted connectivity restoration in wireless sensor and actor networks. IEEE Trans Parallel Distrib Syst 20(9):1366–1379CrossRefGoogle Scholar
  11. 11.
    Egea-López E, Vales-Alonso J, Martínez-Sala A, García-Haro J, Pavón-Mariño P, Bueno Delgado M (2006) A wireless sensor networks MAC protocol for real-time applications. J Pers Ubiquitous Comput 12(2):111–122CrossRefGoogle Scholar
  12. 12.
    Lee S, Younis M (2010) Optimized relay placement to federate segments in wireless sensor networks. IEEE Trans Sel Areas Commun 28(5):742–752CrossRefGoogle Scholar
  13. 13.
    Al-Turjman F, Hassanein H, Alsalih W, Ibnkahla M (2011) Optimized relay placement for wireless sensor networks federation in environmental applications. Wirel Commun Mob Comput 11(12):1677–1688Google Scholar
  14. 14.
    Al-Turjman F, Hassanein H, Ibnkahla M (2009) Connectivity optimization for wireless sensor networks applied to forest monitoring. In: Proceedings of the IEEE International Conference on Communications (ICC), Dresden, pp AHSN11.5.1–AHSN11.5.5Google Scholar
  15. 15.
    Alsalih W, Hassanein H, Akl S (2009) Routing to a mobile data collector on a predefined trajectory. In: Proceedings of the IEEE International Conference on Communications (ICC), Dresden, Germany, pp 1–5Google Scholar
  16. 16.
    Gellersen H, Fischer C, Guinard D, Gostner R, Kortuem G, Kray C, Rukzio E, Streng S (2009) Supporting device discovery and spontaneous interaction with spatial references. J Pers Ubiquitous Comput 13(4):255–264CrossRefGoogle Scholar

Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  • Fadi M. Al-Turjman
    • 1
  • Hossam Hassanein
    • 1
    • 2
  • Sharief Oteafy
    • 1
  • Waleed Alsalih
    • 2
  1. 1.School of ComputingQueen’s UniversityKingstonCanada
  2. 2.Department of Computer ScienceKing Saud UniversityRiyadhSaudi Arabia

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