A Method for Joint Compressing and Recovering Destructed Signals in Wireless Multimedia Sensor Networks

International Journal of Mobile Computing and Application
© 2014 by SSRG - IJMCA Journal
Volume 1 Issue 2
Year of Publication : 2014
Authors : M. Eslami, F. Torkamani-Azar and E. Mehrshahi
How to Cite?

M. Eslami, F. Torkamani-Azar and E. Mehrshahi, "A Method for Joint Compressing and Recovering Destructed Signals in Wireless Multimedia Sensor Networks," SSRG International Journal of Mobile Computing and Application, vol. 1,  no. 2, pp. 16-20, 2014. Crossref, https://doi.org/10.14445/23939141/IJMCA-V1I3P105


The WSNs are developed to sense, gather, process and transmit the real-world information and so in recent years, solving numerous challenges of wireless sensor networking are considered intensely. In addition, in Wireless Multimedia Sensor Networks intra- and intersignal correlations can be exploited in the theory of distributed source coding and similarly in distributed compressive sensing to compress signals as much as possible. These cases may be occurred in applications and services in which work with smart spaces and context aware networks.In this paper based on compressive sensing a framework denoted asECMis proposed to compress and reconstruct the signals of the sensors even for networks which the data transmission is imperfect.ECM uses the concepts of distributed compressive sensing and the shared information between sensor's signals to compress the signals more.


Wireless Sensor Network, Distributed Compressive Sensing, Signal Compression,


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