Journal of Software:2018.29(S1):1-9

(中国科学院 沈阳自动化研究所, 辽宁 沈阳 110016;广州中国科学院沈阳自动化研究所分所, 广东 广州 511458;中国科学院 沈阳自动化研究所, 辽宁 沈阳 110016;中国科学院大学, 北京 100049)
Network Stability-Aware Clustering Protocol for Cognitive Radio Sensor Networks
(Shenyang Institute of Automation, The Chinese Academy of Sciences, Shenyang 110016, China;Shenyang Institute of Automation. Guangzhou, The Chinese Academy of Sciences, Guangzhou 511458, China;Shenyang Institute of Automation, The Chinese Academy of Sciences, Shenyang 110016, China;University of Chinese Academy of Sciences, Beijing 100049, China)
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Received:May 01, 2018    
> 中文摘要: 由于频谱的动态性和自组织的组网特性,传统认知无线传感器网络的分簇协议存在分簇频率高和开销大的问题,为此提出了一种考虑网络稳定性的认知无线传感器网络分簇协议.该协议中,每个节点根据邻居节点集合和可用信道构建最大边团,根据最大边团中节点的剩余能量、节点数量和公共可用信道数计算节点权重.权重大的节点成为邻域簇首,其他节点加入邻居簇首所在簇成为簇成员.由于分簇过程中充分考虑网络能耗和频谱动态性,网络的寿命和稳定性得到显著提升.大量仿真表明,该分簇协议相对于其他协议在网络寿命和网络稳定性方面均有明显优势.
Abstract:Due to the dynamics of spectrum and ad-hoc networking, traditional clustering protocols have the issue of high clustering frequency and large communication overhead. To address the issue, this paper for the first time proposes a network stability-aware clustering (NSAC) protocol for cognitive radio sensor networks. In NSAC protocol, each node searches the maximum edge biclique based on its neighbors and available channels. The weight of one node is calculated based on the remaining energy, the numbers of nodes and available common control channels in its maximum edge biclique. The node with the largest weight in the neighborhood will be selected as the cluster head, and the rest of nodes in the neighborhood join the cluster as members. As energy consumption and spectrum dynamics are sufficiently considered in the clustering process, network lifetime and network stability are significantly enhanced. Extensive simulations show that the proposed NSAC protocol markedly outperforms existing works in the aspects of network lifetime and network stability.
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基金项目:国家重点研发计划(2016YFF0202701);国家自然科学基金(61673371,71661147005);广州市科技计划(201804010357) F 国家重点研发计划(2016YFF0202701);国家自然科学基金(61673371,71661147005);广州市科技计划(201804010357) F
Foundation items:National Key Research and Development Program of China (2016YFF0202701); National Natural Science Foundation of China (61673371, 71661147005); Science and Technology Program of Guangzhou (201804010357)
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ZHENG Meng,CHEN Si,LIANG Wei,WANG Chu-Qing.Network Stability-Aware Clustering Protocol for Cognitive Radio Sensor Networks.Journal of Software,2018,29(S1):1-9