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The Study on the Increasing Strategy of Detecting Moving Target in Wireless Sensor Networks

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Algorithms and Architectures for Parallel Processing (ICA3PP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8630))

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Abstract

Wireless Sensor Networks (WSNs) have promising and valuable applications. More and more researchers have conducted research in this area. Because sensor nodes are small and cheap, they usually use battery to provide energy. However, as a great number of nodes are arranged in the network and the working environment is bad, it is difficult to replace batteries or recharge. How to make full use of network resources to ensure the high quality of the network and achieve a balanced network is a problem to be faced. This paper focuses on improvement in wireless sensor networks by improving the MAC protocol.

MAC protocols are basic protocols in WSNs and they influence the performance of network a lot. In those networks that need to track mobile targets, how to achieve the goal of increasing the monitor rate and balance the consumption of network are two very important objectives focused by modifying the MAC protocols. In this paper, we proposed the IMMA to improve the efficiency of the network. The core of this algorithm is by changing the cycle of the state to balance the energy consumption, and increase the monitor rate. IMMA balances energy consumption and enhances the monitor rate of the moving targets. Theoretical and experimental results show that the algorithm improved network efficiency a lot.

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© 2014 Springer International Publishing Switzerland

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Xu, J., Chen, Z., Liu, A., Song, H. (2014). The Study on the Increasing Strategy of Detecting Moving Target in Wireless Sensor Networks. In: Sun, Xh., et al. Algorithms and Architectures for Parallel Processing. ICA3PP 2014. Lecture Notes in Computer Science, vol 8630. Springer, Cham. https://doi.org/10.1007/978-3-319-11197-1_48

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  • DOI: https://doi.org/10.1007/978-3-319-11197-1_48

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11196-4

  • Online ISBN: 978-3-319-11197-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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