A Mobile Target Tracking and Data-Centric Sensor using Wireless Network
V.Vijayadeepa1, P. Anitha2

1V.Vijayadeepa, Head of the Department /Academy of Computer Science Muthayammal College of Arts and Science, TamilNadu India.
2P. Anitha, M.Phil Scholar Muthayammal College of Arts and Science, TamilNadu India.
Manuscript received on November 01, 2012. | Revised Manuscript received on November 02, 2012. | Manuscript published on November 05, 2012. | PP: 210-212 | Volume-2 Issue-5, November 2012. | Retrieval Number: E1045102512/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In data-centric sensor networks, sensor data is not necessarily forwarded to a central sink for storage; instead, the nodes themselves serve as a distributed in-network storage, collectively storing sensor data and waiting to answer user queries. A key problem in designing such a network is how to map data and queries to their corresponding rendezvous nodes so that a query can find its matching data quickly and efficiently. Existing techniques are mostly aimed to address a certain type of queries. Both resource allocation and reactive resource allocation problems in multi- server data-centric sensor(DCS) to attack Poisson process. A queuing network, where multi servers at each service station are allocated, and also each activity of a project is operated at a devoted service station with only one server located at a node of the network. The problem is formulated as a multi-objective optimal control problem that involves four conflicting objective functions. The objective functions are the project direct cost (to be minimized), the mean of project completion time (min), the variance of project completion time (min), and the probability that the project completion time does not exceed a certain threshold (max). It is impossible to solve this problem, optimally. Therefore, we apply a genetic algorithm for numerical optimizations of constrained problems to solve this multi-objective problem.
Keywords: Key predistribution, mobile sink, security, unattended wireless sensor network.