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A Novel Approaches for Power Optimization Techniques using ENRICHED LEAR in Wireless Video Sensor Networks

V.V. Anirudh, M. Somasekar

Abstract


Wireless video sensor network is a special form of wireless sensor networks. The main function of wireless video sensor includes processing, gathering, broadcasting and tracking. The challenges and issues in the wireless video sensor network are that high energy consumption, low network life time and packet loss during the transmission of data. This paper describes the novel approach to minimize the energy consumption, avoiding the packet loss during the transmission of bits and thereby increasing the lifetime of the network using an energy efficient routing protocol enriched LEAR along with error control scheme hybrid ARQ.

Keywords


LEAR, APR, Hybrid ARQ, ZRP, Zone Disjoint

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References


Kyungtae Woo, Chansu Yu, and Dongman Lee Hee Yong Youn Ben Lee, Non- blocking localized routing algorithm for balanced energy consumption in mobile adhoc networks.

Chong Tan , Junni Zou , Min Wanga, Ruifeng Zhan, Network lifetime optimization for wireless video sensor networks with network coding/ARQ hybrid adaptive error-control scheme, ELSEVIER (2011).

Yin Ying Yang, Mirelal Fonoage, Mihaela Cardei, Improving the network lifetime with mobile wireless sensor networks, Computer communications (2006).

Tong Zhao, Qing Zhao, Lifetime maximization based on coverage and Connectivity in wireless sensor networks, Journal of Signal processing Systems archive 57 (3) (2009) 385–400.

Z.He, D. Wu, Resource allocation and performance analysis of Wireless video sensors, IEEE Transactions on Circuits and Systems for video Technology 16 (5) (2006) 590–599.

Natarajan Meghanathan, Performance analysis of link, node, and zone disjoint multipath routing strategies and minimum hop routing path for mobile adhoc networks. International Journal of Wireless and mobile networks (Nov-2010).

J. -H. Chang and L. Tassiulas. Routing for a maximum system lifetime in wireless ad-hoc networks. Proc. of 37-th Annual Allerton Conference on Communication, Control and Computing, 1999.

G. J. Foschini and J. Salz. Digital communications over fading radio channels. Bell Systems Technical Journal, pages 429 {456, 1983.

A. Giridhar and P.R. Kumar. Maximizing the functional lifetime of sensor networks. Information Processing in Sensor Networks (IPSN), 2005.

R. Madan and S. Lall. Distributed algorithms for maximum lifetime routing in wireless sensor networks. Globecom, 2004.

A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson. Wireless sensor networks for habitat monitoring. ACM International Workshop on Wireless Sensor Networks and Applications, 2002.

J. Pan, Y. T. Hou, L. Cai, Y. Shi, and S. X. Shen. Topology control for wireless sensor networks. MobiCom, 2003.

V. Rodoplu and T. H. Meng. Minimum energy mobile wireless networks. IEEE J. Selected Areas in Communications, 17 (8): 1333 {1344, 1999.

M. R. Pearlman, Z. J. Hass, P. Sholander and S. S. Tabrizi, “On the Impact of Alternate Path Routing for Load Balancing in Mobile Ad Hoc networks,” The First Annual Workshop on Mobile Ad Hoc Networking & Computing (MobiHOC 2000), Aug. 2000.

Tian He, John A. Stankovic, Chenyang Lu and Tarek F. Abdelzaher A spatiotemporal communication protocol for wireless sensor networks,. IEEE Trans. Parallel Distrib. Syst., vol. 16, no. 10, pp. 995-1006, 2005.


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