首页> 外文期刊>Journal of industrial and management optimization >PERFORMANCE ANALYSIS OF A COOPERATIVE FLOW GAME ALGORITHM IN AD HOC NETWORKS AND A COMPARISON TO DIJKSTRA'S ALGORITHM
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PERFORMANCE ANALYSIS OF A COOPERATIVE FLOW GAME ALGORITHM IN AD HOC NETWORKS AND A COMPARISON TO DIJKSTRA'S ALGORITHM

机译:AD HOC网络中一种协作式流量游戏算法的性能分析及与Dijkstra算法的比较

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The aim of this study is to provide a mathematical framework for studying node cooperation, and to define strategies leading to optimal node behaviour in ad hoc networks. In this study we show time performances of three different methods, namely, Dijkstra's algorithm, Dijkstra's algorithm with battery times and cooperative flow game algorithm constructed from a flow network model. There are two main outcomes of this study regarding the shortest path problem which is that of finding a path of minimum length between two distinct vertices in a network. The first one finds out which method gives better results in terms of time while finding the shortest path, the second one considers the battery life of wireless devices on the network to determine the remaining nodes on the network. Further, optimization performances of the methods are examined in finding the shortest path problem. The study shows that the battery times play an important role in network routing and more devices provided to keep the network. To view the time performance analysis of the methods MATLAB is used. Also, considering the cooperation between the nodes, it is envisaged that using cooperative game theory brings a new approach to network traffic engineering and routing methods.
机译:这项研究的目的是提供一个用于研究节点协作的数学框架,并定义导致ad hoc网络中最佳节点行为的策略。在这项研究中,我们展示了三种不同方法的时间性能,分别是Dijkstra算法,带电池时间的Dijkstra算法和从流网络模型构建的协作流博弈算法。关于最短路径问题,该研究有两个主要结果,即在网络中两个不同顶点之间找到最小长度的路径。第一种方法找出时间上最短的路径时,哪种方法可以提供更好的结果,第二种方法考虑网络上无线设备的电池寿命来确定网络上的其余节点。此外,在寻找最短路径问题时检查了方法的优化性能。研究表明,电池时间在网络路由中起着重要作用,并且提供了更多设备来保持网络。为了查看方法的时间性能分析,使用了MATLAB。此外,考虑到节点之间的协作,可以设想使用协作博弈理论为网络流量工程和路由方法带来了新的方法。

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