Advances in Wireless Sensor Networks: 7th China Conference, by Limin Sun, Huadong Ma, Feng Hong

By Limin Sun, Huadong Ma, Feng Hong

This e-book constitutes the refereed complaints of the seventh China convention of instant Sensor Networks, held in Qingdao, China, in October 2013. The 35 revised complete papers have been rigorously reviewed and chosen from 191 submissions. The papers hide a variety of themes within the instant sensor community fields like node platforms, infrastructures, conversation protocols, information management.

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Additional info for Advances in Wireless Sensor Networks: 7th China Conference, CWSN 2013, Qingdao, China, October 17-19, 2013. Revised Selected Papers

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The proposed algorithms for a dominating set and a virtual backbone are presented in Section 4. The detailed analysis about the correctness of the algorithms and time and message complexity are shown in Section 5. Conclusions and future works are described in Section 6. 1 Model and Definition Network Model We make some reasonable assumptions as follows. (1) Each node has a unique node identity id. (2) Each node can adjust its transmission power to any value between zero and its maximum power level.

The proposed algorithm MBIDSC, only require local information of nodes during the construction of a dominating set and a virtual backbone. In section 5, we show that the correctness of the algorithm and complexity of time and message by theoretical analysis. The topology obtained by the algorithm effectively reduce the energy consumptions of nodes with lower interference levels, and thus prolong the lifetime of the network. Virtual Backbone Construction Algorithms 39 In the future, we will study a algorithm for constructing a virtual backbone with low interference.

Human Tracking with Pyroelectric Sensors 21 Fig. 9. Relationship between missing rate and tracking error using different models 6 Conclusion This paper puts forward the idea of using the modeling of the clutter environment, turning the observed value from the angle into clutter coordinates, to solve the problem of uneven tracking accuracy caused by using angle error model in regional detection such as pyroelectric sensor nodes. In the tracking phase, we presents a clutter tracking filter algorithm, which looks the observational information of pyroelectric sensor nodes to a group of clutter.

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