The impact of spatial correlation on routing with compression in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks
IEEE Transactions on Mobile Computing
Power balanced coverage-time optimization for clustered wireless sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
An Energy-Efficient Voting-Based Clustering Algorithm for Sensor Networks
SNPD-SAWN '05 Proceedings of the Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks
A survey on wireless multimedia sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Energy-efficient coverage problems in wireless ad-hoc sensor networks
Computer Communications
Challenging issues in visual sensor networks
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
IEEE Communications Magazine
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Visual sensor network collect visual data, which are rich in information and hence offer tremendous potential for many applications such as automated surveillance and traffic monitoring. Hence it is necessary to design scalable network architecture to support several heterogeneous and independent applications. The angle coverage problem aims to identify a set of sensors that preserve all the angles of view of the object while fulfilling the image resolution requirement. In order to save transmission energy, the number of images to be sent should be minimized. A coverage preserving algorithm will be developed with the help of coverage cost metrics to identify the cluster head from a set of sensors to ensure balanced energy consumption. The Unified Modeling Language (UML) is the most widely known and used notation for object oriented analysis and design. UML diagrams presented in the paper with the help Visual Paradigm, helps to design and implement the coverage problem.