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Real Time Approach for Data Placement Using Distributed Cellular Framework Based Clustering for Large Scale Sensor Networks

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 129))

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Abstract

Any large scale real world Wireless Sensor Network (WSN) based application would require the sensor network to provide more features besides the energy consumption. The issues of the scalability, fault tolerance, efficient data placement as well as retrieval and real time communication are all key requirements besides energy efficiency. The existing real time approaches are not energy efficient. Moreover they are only suitable for specific types of applications and do not work well in large scale applications therefore there is a need for an effective and efficient approach which can work in any type of situation and application. In this paper, we have proposed a distributed cellular approach for our proposed real time data placement model for WSNs. It is assumed that the sensor nodes are time synchronized and aware of their locations in their deployment area. The usage of Action and Relay Stations (ARS) has been proposed for data dissemination and action in the wireless sensor network.

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Correspondence to Sanjeev Gupta .

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Gupta, S., Dave, M. (2012). Real Time Approach for Data Placement Using Distributed Cellular Framework Based Clustering for Large Scale Sensor Networks. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25778-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-25778-0_37

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