Coverage providing in d irectional sensor networks through learning algorithms (learning automata)
Keywords:
Directed Wireless Sensor Network; Increased coverage; improved energy consumption; machine learning; learning automata
Abstract
Today, wireless sensor networks due to application development are widely used. There are significant issues in these networks; they can be more effective if they would be fixed. One of these problems is the low coverage of these networks due to their low power. If coverage increases only by increasing the power of sending and receiving power, it can increase network consumption as a catastrophic disaster, while the lack of energy is one of the most important constraints on these networks. To do this, the antenna coverage is oriented in some sensor networks to cover the most important places. This method tries to improves the efficiency and coverage of directional sensor networks by providing a mechanism based on the learning algorithm of the machine called learning automata. Results show this method outperform the before methods at least 20%.
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References
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P.Porkar, E Fakhimi, M Gheisari, M Haghshenas. (2011a). A comparison with some sensor networks storages models, International Conference on Distributed Computing Engineering, Dubai, UAE December 28-30.
P.Porkar, M.Gheisari, (2011). Performance Analysis of two sensor data storages, In proceeding of ECCS11, Tenerife, Spain.
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Wang, Bang. (2010). Coverage control in sensor networks. Springer, 2010. Springer London, 19-34.
Xia, Junbo. (2016). Coverage Optimization Strategy of Wireless Sensor Network Based on Swarm Intelligence Algorithm. Smart City and Systems Engineering (ICSCSE), International Conference on. IEEE,
Y. Cai, W. Lou, M. Li. (2007). Cover set problem in directional sensornetworks, in: Proc. of IEEE Intl. Conf. on Future GenerationCommunication and Networking (FGCN'07), Washington, DC, USA, pp. 274-278.
Y. Zou and K. Chakrabarty. (2004). Sensor deployment and target localization in distributed sensor networks. ACM Transactions on Embedded Computing Systems, 3(1):61.91, February.
Y. Zou and K. Chakrabarty. (2005). A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks. IEEE Transactions on Computers, 54(8): 978,991, August.
Yang, Jianjun, et al. (2013). Researches on coverage holes recovery algorithm in WSN. Communications, Circuits and Systems (ICCCAS), International Conference on. Vol. 2. IEEE.
Yang, Qianqian, et al. (2015). Energy-efficient probabilistic area coverage in wireless sensor networks. IEEE Transactions on Vehicular Technology 64.1, 367-377.
G. Xing, X. Wang, Y. Zhang, C. Lu, R. Pless, and C. Gill. (2005). Integrated coverage and connectivity configuration for energy conservation in sensor networks. ACM Transactions on Sensor Networks, 1(1):36.72, August.
Guvensan, M. A. and Yavuz, A. G. (2011a). On coverage issues in directional sensor networks: A survey. Ad Hoc Networks, 9(7), 1238-1255.
Guvensan, M. A. and Yavuz, A. G. (2011b). A new coverage improvement algorithm based on motility capability of directional sensor nodes. International Conference on Ad-Hoc Networks and Wireless. Springer, Berlin, Heidelberg, 2011.
Guvensan,M. A. and Yavuz, A. G. (2013). Hybrid movement strategy in self-orienting directional sensor networks. Ad Hoc Networks, 11(3), 1075-1091.
H. Zhang and J. Hou. (2005). Maintaining sensing coverage and connectivity in large sensor networks. Ad Hoc and Sensor Wireless Networks: An International Journal, 1(1-2):89, 123, January.
Hochbaum D.S. (1997). Approximating covering and packing problems: setcover, vertex cover, independent set, and related problems, 94-143.
J. Ai, A.A. Abouzeid. (2006). Coverage by directional sensors in randomlydeployed wireless sensor networks, Journal of CombinatorialOptimization, 11(1), 21-41.
J. Wang, C. Niu, R. Shen. (2009). Priority-based target coverage in directionalsensor networks using a genetic algorithm, Computers andMathematics with Applications, 57(11-12), 1915-1922.
Kim, Y. H., Han, Y. H., Jeong, Y. S. and Park, D. S. (2013). Lifetime maximization considering target coverage and connectivity in directional image/video sensor networks. The Journal of Supercomputing,65(1), 365-382.
M. Gheisari, H. Baloochi, M. Gharghi, V. Hadiyan, M. Khajehyousefi, P. Porkar, (2012). An Evaluation of Proposed Systems of Sensor Data’s Storage in Total Data Parameter, International Geoinformatics Research and Development Journal, Canada, 1 march.
M. Gheisari, P. Porkar, M. Sharifzadeh. (2012). A New Semantic Sensor Data’s Storage, International Conference on computer science, Engineering & Technology (ICCSET), Zurich, Switzerland on 2 - 3 June, (Index in IISRC IJITCS, IJET( ISSN : 2091-1601 ), OLS Journals)
M. Sharifzadeh, P. Porkar, M. Gheisari, H. Baloochi, A. H. Mehrabad, H. Akhtari. (2015). A New Algorithm for Resource Discovery In Sensor Networks Based On Neural Network, IJBPAS, December, 4(12), Special Issue: 125-140.
Mini, S., Siba K. Udgata, and Samrat L. Sabat. (2014). Sensor deployment and scheduling for target coverage problem in wireless sensor networks. IEEE Sensors Journal 14.3, 636-644.
More, Avinash, and Vijay Raisinghani. (2017). A node failure and battery-aware coverage protocol for wireless sensor networks." Computers & Electrical Engineering.
More, Avinash. (2016). Battery regression for guaranteed k-coverage in distributed sensor networks. Electronic Devices, Systems and Applications (ICEDSA), 2016 5th International Conference on. IEEE.
P. Porkar. R, A. Fellah J., M. Ghotbi .R, M. Nikzad .D, M. Shokri, M. Gheisari, (2015b). A new algorithm for routing in Zigbee networks, international institute of engineers International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2015) Feb. 1-2, Bali (Indonesia).
P. Porkar. R, m. gharghi, s. payehdar, j. torfi, h. hajiaghai, P. Porkar. R. (2015a). Types of attacks penetrating wireless sensor networks and strategies to overcome them, international institute of engineers International Conference Data Mining, Civil and Mechanical Engineering (ICDMCME’2015), Feb. 1-2, Bali (Indonesia).
P.Porkar, E Fakhimi, M Gheisari, M Haghshenas. (2011a). A comparison with some sensor networks storages models, International Conference on Distributed Computing Engineering, Dubai, UAE December 28-30.
P.Porkar, M.Gheisari, (2011). Performance Analysis of two sensor data storages, In proceeding of ECCS11, Tenerife, Spain.
P.Porkar, M.Gheisari, G.H Bazyari, Z.Kaviyan. (2011b). A comparison on two sensor data storages, International Conference on Intelligent Network and Computing, Bangkok, Thailand December 2-4.
Qu, Nan, Xiangjun Xiong, and Fangming Shao. (2013). Coverage Hole Problem under Sensing Topology in Wireless Sensor Network. 2013 International Conference on Software Engineering and Computer Science. Atlantis Press.
Singh, Devesh Pratap, R. H. Goudar, and Sreenivasa Rao. (2016). Coverage lifetime improvement through efficient deployment of sensor nodes in WSN. International Journal of System Assurance Engineering and Management 7.2, 201-212.
Wang, Bang. (2011). Coverage problems in sensor networks: A survey.” ACM Computing Surveys (CSUR) 43.4, 32.
Wang, Bang. (2010). Coverage control in sensor networks. Springer, 2010. Springer London, 19-34.
Xia, Junbo. (2016). Coverage Optimization Strategy of Wireless Sensor Network Based on Swarm Intelligence Algorithm. Smart City and Systems Engineering (ICSCSE), International Conference on. IEEE,
Y. Cai, W. Lou, M. Li. (2007). Cover set problem in directional sensornetworks, in: Proc. of IEEE Intl. Conf. on Future GenerationCommunication and Networking (FGCN'07), Washington, DC, USA, pp. 274-278.
Y. Zou and K. Chakrabarty. (2004). Sensor deployment and target localization in distributed sensor networks. ACM Transactions on Embedded Computing Systems, 3(1):61.91, February.
Y. Zou and K. Chakrabarty. (2005). A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks. IEEE Transactions on Computers, 54(8): 978,991, August.
Yang, Jianjun, et al. (2013). Researches on coverage holes recovery algorithm in WSN. Communications, Circuits and Systems (ICCCAS), International Conference on. Vol. 2. IEEE.
Yang, Qianqian, et al. (2015). Energy-efficient probabilistic area coverage in wireless sensor networks. IEEE Transactions on Vehicular Technology 64.1, 367-377.
Published
2018-06-29
How to Cite
Rezaeiye, P., Sadegh, E., & Rezaeiyeh, P. (2018). Coverage providing in d irectional sensor networks through learning algorithms (learning automata). Amazonia Investiga, 7(14), 240-256. Retrieved from https://amazoniainvestiga.info/index.php/amazonia/article/view/512
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