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

By Limin Sun, Huadong Ma, Feng Hong

This booklet constitutes the refereed court cases 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 quite a lot of themes within the instant sensor community fields like node platforms, infrastructures, communique protocols, info management.

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Read Online or Download Advances in Wireless Sensor Networks: 7th China Conference, CWSN 2013, Qingdao, China, October 17-19, 2013. Revised Selected Papers PDF

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

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CWSN 2013, CCIS 418, pp. 41–50, 2014. c Springer-Verlag Berlin Heidelberg 2014 42 S. Wan et al. I ⊆ V is a independent set (IS) of G if no two nodes in I are adjacent. An independent set of G is a maximal independent set (MIS) if no more node can be added to form a larger independent set. Obviously, a MIS is a dominating set. A connected dominating set facilitates routing and adapts to the rapid changes of the network topology. Constructing a minimum connected dominating set in unit disk graph is a notable problem.

Ma, and P. Xu the flowchart of AVAPCR-ACO algorithm for optimal routing selection. The detailed steps are as follows: 1. Initialize parameters. Set the maximum number of cycles Nc max , the number of cycles Nc = 0, τij (t) = const, and Δτij (t) = 0. 2. Place m ants on n cluster heads randomly. 3. Nc ← Nc + 1. 4. Set the index of Tabu tables k=1. 5. k = k + 1. 6. Calculate the transition probability using Formula (1) for ants to select cluster head j, j ∈ {C − tabuk }. 7. Select the maximum transition probability, move ant to this cluster head, and add this cluster head to the tabu table.

The rest of this paper is organized as follows. In Section 3, we describe the network model, and give the definition of edge interference capability. 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.

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