A Novel Approach of Human Tracking Mechanism in Wireless Camera Networks

A Novel Approach of Human Tracking Mechanism in Wireless Camera Networks

Usha Devi Gandhi (VIT University, India)
Copyright: © 2017 |Pages: 27
DOI: 10.4018/978-1-5225-2053-5.ch014
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The sensing power of traditional camera networks for efficiently addressing the critical tasks in the process of cluster – based target tracking of human, such as measurement integration, inclusion/exclusion in the cluster and cluster head rotation. The Wireless Camera Networks efficiently uses distribution friendly representation and methods in which every node contributes to the computation in each mechanism without the requirement of any prior knowledge of the rest of the nodes. These mechanisms and methods are integrated in two different distributed schemas so that it can be implemented in the same mean time without taking into the consideration of cluster size. Thus, the experimental evaluation shows that the proposed schemes and mechanisms drastically reduce the energy consumption and computational burden with respect to the existing methodology.
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Literature Review

The distributed wireless sensor micro sensor frameworks will allow the keen observation of a diverse kind of situations for both general and defense purposes. Goshorn et al.(2007) discussed communication protocols that have a massive effect on the general vitality dissemination of the respective systems. Taking into account our experiments and results that the conventional protocol of direct broadcast, multihop routing, minimum energy transfer, and static clustering may not be suitable for sensor systems, suggesting “LEACH (Low-Energy Adaptive Bunching Hierarchy)”, which is an clustering based method that implements distinct rotation of cluster heads to equally distribute the energy level in the system for each sensors in it. “LEACH” deploys partial organization to have robustness of dynamic networks and scalability, and sums up all the collected information form the sensors into the routing protocol in order to limit the measurement of collected information which has to be transferred to the base station. Simulations results shows that “LEACH” can achieve as an element of 9 reductions in terms of dissipation in contrast with the conventional routing protocols.

Various mechanisms have been held to track the moving objects in any geographical environment which may include rotating the head cluster node among the other cluster nodes within the system. This cluster head node is responsible for managing the impact of the cluster nodes respectively. Various large numbers of distinct methods and systems such as “LЕACH” and its variations intend to normalize the consumption of energy by selecting the node which has a high remaining energy level and memory level as the head node. However, these criteria will not be of any use to improve the sensing ability or to have reduced energy consumption. While in the other system environment the head role is allocated to the node that is very much near to the estimated target location (Medeiros et al., 2011). The node which collects the exact information about the assigns target need not be close to the target; hence it is free to be located anywhere in the system. Various methods have tried for implementation which deals with addition and elimination of nodes in thе rеspеctivе clustеr tеchniquеs (Zhang et al., 2007). This kееps thе nodе activе whosе distancе is less than prеsumеd valuеs from thе targеt.

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