Quality of information maximization for wireless sensor networks with heterogeneous traffic | IEEE Conference Publication | IEEE Xplore

Quality of information maximization for wireless sensor networks with heterogeneous traffic


Abstract:

In this paper, we investigate the quality of information (QoI) maximization problem by jointly optimizing the sampling rate, packet-dropped rate, and transmit power in wi...Show More

Abstract:

In this paper, we investigate the quality of information (QoI) maximization problem by jointly optimizing the sampling rate, packet-dropped rate, and transmit power in wireless sensor networks (WSNs). We consider a complicated but practical scenario, where various tasks with heterogeneous traffic are supported by one WSN simultaneously. Accordingly, the QoI maximization problem is formulated as a stochastic optimization problem subject to differentiated traffic constraints. To tackle the problem, Lyapunov technique is applied to obtain a integrated QoI of heterogeneous traffic maximization algorithm. Results show that, a control parameter enables an explicit tradeoff between the time average QoI and queue backlogs.
Date of Conference: 11-13 October 2017
Date Added to IEEE Xplore: 11 December 2017
ISBN Information:
Electronic ISSN: 2472-7628
Conference Location: Nanjing, China

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