Abstract
The data-centric wireless sensor networks comprise numerous autonomous tiny nodes forms random topology in nature. Applications oriented WSNs immensely used for monitoring harsh environment. Its unique constrains are distinguishing it from traditional networks by energy, lifetime, fault tolerance, scalability and computational power. When they are deployed randomly sensing & generating vast amount of data, for which they are being used. Network meets Congestion, if huge volume of data passed. To eradicate it, misbehaving nodes are identified and skilled for self-healing without human intervention. Existing approaches focus on controlling link level congestions not node level. Our proposed fusion-centric scheme controls node congestion. To achieve this, selectively concentrate on intermediate level. Misbehaving nodes are identified by using their historic data based on fault level occurred. Lifetime is determined by allocation-rate and more radio signal usage. Our scheme keeps the network without consuming much resource. Node level control is needed for self-configuring WSNs.
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References
Wang, Q.: Traffic Analysis, Modeling and TheirApplications in Energy-Constrained Wireless Sensor Networks-On Network Optimization and Anomaly Detection. Mid Sweden University, Sweden (2010) ISBN 978-91-86073-64-0, ISSN 1652-893x
Deshpande, V., Sarode, P., Sarode, S.: EDCAM-Early Detection Congestion Avoidance Mechanism. Inter. Journal of Comp. Application 7(2), 11–14 No 18, Article 6
Sankarsubramaniam, Y., Bakan, O., Akyildiz, I.F.: ESRT: Event to sink reliable transport inWireless Sensor Network. In: Proc. of ACM MobiHoc 2003 (2003)
Kulik, J., Rabiner, W., Balakrishnan, H.: Adaptive protocols for information dissemination in wsn. In: Proc. ACM MobiCom, Seattle, WA, pp. 174–185 (August 1999)
Hull, B., Jamieson, K., Balakrishnan, H.: Mitigating congestion in wireless sensor networks. In: Proc. 2nd ACM Conf. Embedded Netw. Sensys, Baltimore, MD (November 2004)
Chen, S., Fang, Y., Xia, Y.: Lexicographic maxmin fairness for data collection in wireless sensor networks. IEEE Trans. Mobile Comput. 6(7) (July 2007)
Shih, E., Cho, S.: Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In: Proc. ACM MobiCom, Rome, Italy, pp. 272–287 (July 2001)
Wan, C.-Y., Eisenman, S.B., Campbell, A.T.: CODA: Congestiondetection and avoidance in sensor networks. In: Proc. ACM SenSys (November 2003)
Chen, H., Yao, D.D.: Fundamentals of Queuing Networks: Performance, Asymptotics, and Optimization. Applications of Mathematics 46 (2001)
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Prabakaran, N., Naresh, K., Jagadeesh Kannan, R. (2014). Fusion Centric Decision Making for Node Level Congestion in Wireless Sensor Networks. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol I. Advances in Intelligent Systems and Computing, vol 248. Springer, Cham. https://doi.org/10.1007/978-3-319-03107-1_35
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DOI: https://doi.org/10.1007/978-3-319-03107-1_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03106-4
Online ISBN: 978-3-319-03107-1
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