Energy-Efficient Sensor Grouping for IEEE 802.11ah Networks With Max-Min Fairness Guarantees
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影响因子：3.367
DOI码：10.1109/ACCESS.2019.2931709
所属单位：School of ComputerScience and Information Engineering, Hefei University of Technology
发表刊物：IEEE Access
项目来源："National Natural Science Foundation of China under Grant 61571178, Fundamental Research Funds for
关键字：IEEE 802.11ah, energy efficiency, sensor grouping, combination optimization
摘要：For the large scale wireless networks, restricted access window (RAW) mechanism is a promising technique for realizing large-scale sensor access with the limited collision probability. In this paper, we are committed to designing the traffic distribution based sensor grouping scheme to balance the energy efficiency (EE) of different groups in the large scale access networks. Specifically, by adopting the Markov chain model, we formulate the optimization problem of max-min EE by taking into account traffic demands with even distribution of different all groups, but the formulated problem is an integer nonlinear programming (INLP) problem. In order to solve the INLP problem, we propose an optimal traffic grouping algorithm (OTGA) by utilizing the branch-and-bound method (BBM) to accommodate for the congestion level among groups. Though the traffic demands of each group can be obtained from the traffic grouping scheme, different combination of heterogeneous sensors can generate the same traffic demands, which make it difficult to find the optimal solution of sensor grouping from the proposed traffic grouping scheme. Furthermore, a heuristic traffic-sensor mapping algorithm (HTMA) is presented to make the traffic demands of each group appropriate. Thus, the proposed scheme can achieve a sub-optimal performance with the individual EE. The numerical results are provided to verify the effectiveness of the proposed schemes.
合写作者：Jiaojiao Zhang,Xiangru Zhang
第一作者：Caihong Kai
论文类型：期刊论文
通讯作者：Wei Huang
学科门类：工学
文献类型：J
卷号：7
页面范围：102284 - 102294
ISSN号：2169-3536
是否译文：否
发表时间：2019-07-29
收录刊物：SCI、EI