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首页> 外文期刊>Wireless personal communications: An Internaional Journal >Swarm and Fuzzy Based Cooperative Caching Framework to Optimize Energy Consumption Over Multimedia Wireless Sensor Networks
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Swarm and Fuzzy Based Cooperative Caching Framework to Optimize Energy Consumption Over Multimedia Wireless Sensor Networks

机译：基于群体和模糊的协同缓存框架可优化多媒体无线传感器网络的能耗

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摘要

Rapid technological advancement has spurred an impressive growth of industrial application for Multimedia Wireless Sensor networks. The entire sensor nodes are operated with the help of battery. An approach towards evolving low energy networking has been a great challenge, especially a battery which is worked storage and the nodes that are forwarded. More energy is consumed during data transmission and query processing. The possible solution is to minimize energy consumption by the use of cooperative caching method. In this research work, a Mobility with Clustering based Energy Efficient Cooperative Caching (MCE2C2) method is proposed. In this framework, the reservation node selection is performed using fuzzy interference system. The data transfer from the intermediate node and reservation node are performed by swarm intelligence based routing. When the sensor node accepts the data, the caching decision is evaluated by two parameters such as information present index and content drop time. The cache performance is improved by using the clustering mechanism and integrating the cache consistency and the cache replacement Push-Pull and Energy efficient Cache Replacement algorithms are used respectively. By using MATLAB and NS2 simulator, the performance of MCE2C2 is evaluated and the results are compared with existing approaches. As a result of this the sensor node energy is improved.
机译：快速的技术进步刺激了多媒体无线传感器网络在工业上的惊人增长。整个传感器节点借助电池进行操作。发展低能耗网络的方法一直是一个巨大的挑战，特别是工作存储和转发节点的电池。在数据传输和查询处理期间会消耗更多的能量。可能的解决方案是通过使用协作缓存方法来最小化能耗。在这项研究工作中，提出了一种基于聚类的移动性高效协同缓存（MCE2C2）方法。在此框架中，使用模糊干扰系统执行预留节点的选择。来自中间节点和预留节点的数据传输是通过基于群体智能的路由执行的。当传感器节点接受数据时，将通过两个参数（例如信息存在索引和内容删除时间）来评估缓存决策。通过使用群集机制并集成缓存一致性来提高缓存性能，并且分别使用了缓存替换推挽和节能缓存替换算法。通过使用MATLAB和NS2仿真器，评估了MCE2C2的性能，并将结果与​​现有方法进行了比较。结果，提高了传感器节点的能量。

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