Compressive Sleeping Wireless Sensor Networks With Active Node Selection
IEEE Global Communications Conference
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Chen, W., & Wassell, I. (2014). Compressive Sleeping Wireless Sensor Networks With Active Node Selection. IEEE Global Communications Conference, 7-12. https://doi.org/10.1109/GLOCOM.2014.7036776
In this paper, we propose an active node selection framework for compressive sleeping wireless sensor networks (WSNs) in order to improve the signal acquisition performance and network lifetime. The node selection can be seen as a specialized sensing matrix design problem where the sensing matrix consists of selected rows of an identity matrix. By capitalizing on a genie-aided reconstruction procedure, we formulate the active node selection problem into an optimization problem, which is then approximated by a constrained convex relaxation plus a rounding scheme. The proposed approach also exploits the partially known signal support, which can be obtained from the previous signal reconstruction. Simulation results show that our proposed active node selection approach leads to an improved reconstruction performance and network lifetime in comparison to various node selection schemes for compressive sleeping WSNs.
This work is supported by EPSRC Research Grant EP/K033700/1; the Natural Science Foundation of China (61401018, U1334202); the Fundamental Research Funds for the Central Universities (2014JBM149); the State Key Laboratory of Rail Traffic Control and Safety (RCS2012ZT014) of Beijing Jiaotong University; the Key Grant Project of Chinese Ministry of Education (313006); the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry.
External DOI: https://doi.org/10.1109/GLOCOM.2014.7036776
This record's URL: https://www.repository.cam.ac.uk/handle/1810/253432