Abstract
The survivability is usually critical for wireless sensor networks, which are often deployed in the unattended harsh environment. Lots of technical schemes to improve the survivability depend on the redundant resources of the sensor networks. The amount of resources is usually determined by the node density during the deployment phase. For the random deployment and random node failures, the quantitative relation between the survivability and the node density is studied. Based on the conditional survivability, the node density to meet the required survivability level is presented. Finally, the survivability for unpredictable failures and the optimal node density to maximize the price-performance ratio are also discussed.
Similar content being viewed by others
References
Zhang Z, Long K, Wang J, et al. On swarm intelligence inspired self-organized networking: its bionic mechanisms, designing principles and optimization approaches. IEEE Commun Surv Tutor, 2013, PP(99): 1–25
Zhang Z,, Huangfu W, Long K, et al. On the designing principles and optimization approaches of bio-inspired selforganized network: a survey. Sci China Inf Sci, 2013, 56: 071301
Stankovic J A. When sensor and actuator networks cover the world. ETRI J, 2008, 30: 627–633
Ball R E. The Fundamentals of Aircraft Combat Survivability Analysis and Design. AIAA, 2003
Ellison R J, Fisher D A, Linger R C, et al. Survivable Network Systems: an Emerging Discipline. Technical Report. DTIC Document, 1997
Zhang Z L, Chen H M, Huang T P, et al. A channel allocation scheme to mitigate Wifi interference for wireless sensor networks (in Chinese). Chin J Comput, 2012, 35: 504–517
Thein T, Chi S D, Park J S. Increasing availability and survivability of cluster head in WSN. In: 3rd International Conference on Grid and Pervasive Computing Workshops, Kunming, 2008. 281–285
Hammood MM, Yoshigoe K. Efficient data replication mechanism to maximize data survivability in unattended wireless sensor networks. In: 5th International Conference on Signal Processing and Communication Systems, Honolulu, 2011. 1–6
Silva F, Braga T, Nogueira J, et al. Service migration in wireless sensor networks. In: 12th IEEE Symposium on Computers and Communications, Veiro, 2007. 949–954
Parvin S, Kim D, Park J. Towards survivable sensor networks using self-regenerative rejuvenation and reconfiguration. In: IEEE International Conference on Computational Intelligence and Security Workshops, Harbin, 2007. 546–549
Mulligan R, Ammari H. Coverage in wireless sensor networks: a survey. Netw Protoc Algorithms, 2010, 2: 27–53
Fabbri F, Buratti C, Verdone R. A multi-sink multi-hop wireless sensor network over a square region: connectivity and energy consumption issues. In: IEEE GLOBECOM Workshops, New Orleans, 2008. 1-6
Adlakha S, Srivastava M. Critical density thresholds for coverage in wireless sensor networks. In: IEEE Wirelss Communications and Networking, New Orleans, 2003. 1615–1620
Ammari H, Das S. Critical density for coverage and connectivity in three-dimensional wireless sensor networks using continuum percolation. IEEE Trans Parall Distrib Syst, 2009, 20: 872–885
Raha A, Maity S, Naskar M, et al. An optimal sensor deployment scheme to ensure multi level coverage and connectivity in wireless sensor networks. In: 8th IEEE International Wireless Communications and Mobile Computing Conference, Limassol, 2012. 299–304
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Huangfu, W., Zhang, Z., Chai, X. et al. Survivability-oriented optimal node density for randomly deployed wireless sensor networks. Sci. China Inf. Sci. 57, 1–6 (2014). https://doi.org/10.1007/s11432-013-5054-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-013-5054-8