An Improved Grid-Based K-Coverage Technique Using Probabilistic Sensing Model for Wireless Sensor Networks
Subject Areas : electrical and computer engineering
Abdolreza
Vaghefi
1
Mahdi
Mollamotalebi
2
(دانشگاه آزاد اسلامی بوئین زهرا)
Abstract :
Coverage of an area, with one or multiple sensors, is one of the fundamental challenges in wireless sensor networks. Since a sensor life span is limited and reliable data is of great importance, sensitive applications like fire\leakage alarm systems, intrusion detection, etc. need multiple sensors to cover the region of interest, which is called K-coverage. Most of the studies that have been carried out on K-coverage evaluation have used binary sensing model. In this paper, we propose a grid-based K-coverage evaluation technique using probabilistic sensing model to increase evaluation accuracy and decrease evaluation time. The proposed technique is implemented using NS-2 simulator, and its results are compared to probabilistic perimeter-based and binary grid-based techniques. The results indicate that the proposed technique improved accuracy by 14% and 24% compared to the mentioned techniques respectively. It also shows 7% decrease in evaluation time compared to probabilistic perimeter-based technique.
[1] M. T. Thai, F. Wang, D. Hongwei Du, and X. Jia, "Coverage problems in wireless sensor networks: designs and analysis," International J. of Sensor Networks, vol. 3, no. 3, pp. 191-200, May 2008.
[2] S. Kumar and D. Lobiyal, "Sensing coverage prediction for wireless sensor networks in shadowed and multipath environment," The Scientific World J., vol. vol. 2013, Article No. 565419, 11 pages, Oct. 2013.
[3] A. Hossain, S. Chakrabarti, and P. Biswas, "Impact of sensing model on wireless sensor network coverage," IET Wireless Sensor Systems, vol. 2, no. 3, pp. 272-281, Sept. 2012.
[4] J. Yua, X. Denga, D. Yuc, G. Wangd, and X. Gua, "CWSC: connected k-coverage working sets construction algorithm in wireless sensor networks," J. of Electronics and Communications, vol. 67, no. 11, pp. 937-946, Nov. 2013.
[5] C. Huang and Y. Tseng, "The coverage problem in a wireless sensor network," J. Mobile Networks and Applications, vol. 10, no. 4, pp. 519-528, Aug. 2005.
[6] G. Xing, X. Wang, Y. Zhang, C. Lu, R. Pless, and C. Gill, "Integrated coverage and connectivity configuration for energy conservation in sensor networks," J. ACM Trans. on Sensor Networks (TOSN), vol. 1, no. 1, pp. 36-72, Aug. 2005.
[7] C. Huang, Y. Tseng, and L. Lo, "The coverage problem in three-dimensional wireless sensor networks," J. of Interconnection Networks, vol. 08, no. 03, pp. 209-227, Sept. 2007.
[8] X. Zhang and C. Wang, "Distributed k-coverage verification algorithm based on localized distance information in WSNs," in Proc. of the IEEE Int. Conf. on Networking, Architecture, and Storage, pp. 196-199, Hunan, China, 9-11 Jul. 2009.
[9] Y. Bejerano, "Coverage verification without location information," J. IEEE Trans. on Mobile Computing Archive, vol. 11, no. 4, pp. 631-643, May 2012.
[10] H. L. Wang and W. H. Chung, "The generalized k-coverage under probabilistic sensing model in sensor networks," in Proc.IEEE Wireless Communications and Networking Conf., WCNC'12, pp. 1737-1742, Shanghai, China, 1-4 Apr. 2012.
[11] X. Shen, J. Chen, and Y. Sun, "Grid scan: a simple and effective approach for coverage issue in wireless sensor networks," in Proc. of the IEEE Int. Conf. on Communications, ICC'06, vol. 8, pp. 3480-3484, Istanbul, Turkey, 11-15 Jun. 2006.
[12] J. Sheu, G. Chang, S. Wu, and Y. Chen, "Adaptive k-coverage contour evaluation and deployment in wireless sensor networks," J. ACM Trans. on Sensor Networks, vol. 9, no. 4, Article No. 40, 31 pp., Jul. 2013.
[13] K. Juang, E. Wang, C. Chiang, and A. Chen, "Verification of k-coverage on query line segments," in Proc. of the 17th Int.Database Engineering & Applications Symp., pp. 114-121, Barcelona, Spain, 9-13 Oct. 2013.
[14] A. So and Y. Ye, "On solving coverage problems in a wireless sensor network using voronoi diagrams," in Proc. of Workshop on Internet and Network Economics, WINE'05, pp. 584-593, Hong Kong, China, 15-17 Dec. 2005.
[15] Y. Zou and K. Chakrabarty, "Uncertainty-aware and coverage-oriented deployment for sensor networks," J. Parallel and Distributed Computing, vol. 64, no. 7, pp. 788-798, Jul. 2004.
[16] S. Patnaik, X. Li, and Y. Yang, Recent Development in Wireless Sensor and Ad-hoc Networks, Springer, 2015.
[17] M. Boudali, M. Senouci, M. Aissani, and W. Hidouci, "Activities scheduling algorithms based on probabilistic coverage models for wireless sensor networks," Annals of Telecommunications, vol. 72, no. 3, pp. 221-232, Apr. 2017.
[18] M. Fernandez and S. Williams, "Closed-form expression for the Poisson-binomial probability density function," IEEE Trans. on Aerospace and Electronic Systems, vol. 46, no. 2, pp. 803-817, Apr. 2010.
[19] Y. Hong, "On computing the distribution function for the Poisson binomial distribution," Computational Statistics & Data Analysis, vol. 59, no. 1, pp. 41-51, Mar. 2013.
[20] W. Hoeffding, "On the distribution of the number of successes in independent trials," the Annals of Mathematical Statistics, vol. 27, no. 3, pp. 713-721, Sept. 1956.
[21] W. Wang, On the Number of Successes in Independent Trials, Statistica Sinica, pp. 295-312, 1993.
[22] R. Hamming, The Art of Probability: for Scientists and Engineers, Addison-Wesley Longman Publishing Co., Inc. Boston, MA, USA, 1991.
[23] S. Ross, Introduction to Probability Models, 11th Edition, Academic Press, Inc. Orlando, FL, USA, 2014.
[24] B. Bowerman, R. O'Connell, and A. Koehler, Forecasting, Time Series, and Regression: An Applied Approach, Thomson Brooks/Cole, 2005.