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机构地区:[1]新疆大学信息科学与工程学院,新疆乌鲁木齐830046
出 处:《计算机工程与设计》2015年第8期2011-2015,共5页Computer Engineering and Design
基 金:国家自然科学基金项目(61262089;61262087);新疆教育厅高校教师科研计划重点基金项目(XJEDU2012I09)
摘 要:针对机会网络中存在较多自私节点的问题,提出一种基于社会信任的数据转发算法,确保消息有效可靠地传递到目的节点。利用节点间的交互信息描述节点的社会属性,依据熟悉度、亲密度、服务度,构建节点之间的信任关系,将其量化为具体的信任值,选取信任节点作为转发节点,避免网络中自私节点抛弃所转发消息的可能。实验结果表明,该方法在自私节点较多的机会网络中能保证消息高效传递。To address the problem that many selfish nodes exist in opportunistic networks, a data forwarding algorithm based on social trust was proposed, which ensured the messages be transferred to the destination node effectively and reliably. The inte- ractional parameters were used to describe the social attributes of the nodes. According to the familiarity degree, intimacy degree, service degree, the relationship of social trust was built between nodes. The value of the trust was then quantified. The trusted nodes were selected as the forwarding nodes, and the possibility that the selfish nodes discarded the forwarded messages was avoided. The simulation results show that the proposed method guarantees the messages to be transferred efficiently in opportu- nistic networks in which many selfish nodes exist.
关 键 词:机会网络 社会属性 社会信任 数据转发 自私节点
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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