Wireless Personal Communications

, Volume 72, Issue 2, pp 857–917 | Cite as

Network Partitioning Recovery Mechanisms in WSANs: a Survey

  • Virender RangaEmail author
  • Mayank Dave
  • Anil Kumar Verma


Wireless sensor and actor networks (WSANs) are more promising and most addressing research field in the area of wireless sensor networks in recent scenario. It composed of possibly a large number of tiny, autonomous sensor devices and resources rich actor nodes equipped with wireless communication and computation capabilities. Actors collect sensors’ information and respond collaboratively to achieve an application specific mission. Since actors have to coordinate their operation, a strongly connected inter-actor network would be required at all the time in the network. Actor nodes may fail for many reasons (i.e. due of battery exhaustion or hardware failure due to hash environment etc.) and failures may convert connected network into disjoint networks. This can hinder sometimes not only the performance of network but also degrade the usefulness and effectiveness of the network. Thus, having a partitioning detection and connectivity restoration procedure at the time of failure occurs in the network is crucial for WSANs. In this paper, we review the present network partitioning recovery approaches and provide an overall view of this study by summarizing previous achievements.


WSANs Optimization criteria DARA LeMoToR  LeDir PADRA BiO4SeL 



This work is supported by the Department of Computer Engineering, National Institute of Technology, Kurukshetra, Haryana (India) and Department of Computer Science and Engineering, Thapar University, Patiala, Punjab (India). We would like to thanks all the authors of the research papers and reviewers who advised us directly or indirectly to write this detailed survey paper in a fruitful manner.


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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Virender Ranga
    • 1
    Email author
  • Mayank Dave
    • 1
  • Anil Kumar Verma
    • 2
  1. 1.Department of Computer EngineeringNational Institute of TechnologyKurukshetraIndia
  2. 2.Department of Computer Science and EngineeringThapar UniversityPatialaIndia

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