首页> 外文会议>2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery >Combination of Relative Neighborhood Graph and Forbidden Set in the Design of Distributed Broadcast Algorithms for Wireless Ad Hoc Networks
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Combination of Relative Neighborhood Graph and Forbidden Set in the Design of Distributed Broadcast Algorithms for Wireless Ad Hoc Networks

机译:无线Ad Hoc网络分布式广播算法设计中相对邻域图与禁止集的结合。

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A wireless ad hoc network typically comprises of nodes with energy supplied by batteries. Hence, energy conservation is crucial to extending the lifetimes of individual nodes and the network as a whole. In topology control type of broadcast algorithms, the distance between neighbors is used to adjust the transmission power to reduce energy consumption. One such example is based on relative neighborhood graph (RNG). In RNG each node maintains a list of relative neighbors and the information is employed to construct a broadcast path. In this paper, distributed broadcast algorithms are proposed that incorporate the notion of forbidden set in RNG to improve the performance. The key idea of forbidden set is to prohibit nodes with low remaining battery capacity from serving as rebroadcast nodes. Via this selection criterion, we can avoid the disruption of the broadcast path due to energy depletion at nodes with low energy capacity, thereby achieving the goal of elongating the lifetime of the broadcast path. Further power saving can be achieved by getting rid of redundant rebroadcasts. The procedure is described with illustrations. In particular, the removal of such redundancy is dependent on the source node. Simulation results confirm the improvement furnished by the proposed algorithms.
机译:无线自组织网络通常包括由电池供电的节点。因此,节能对于延长单个节点和整个网络的寿命至关重要。在拓扑控制类型的广播算法中,邻居之间的距离用于调整传输功率以减少能耗。一个这样的示例是基于相对邻域图(RNG)的。在RNG中,每个节点维护一个相对邻居列表,并且该信息用于构造广播路径。本文提出了一种分布式广播算法,该算法在RNG中纳入了禁止集的概念,以提高性能。禁止集的关键思想是禁止剩余电池电量低的节点充当转播节点。通过这种选择标准,我们可以避免在能量容量低的节点上由于能量消耗而造成的广播路径中断,从而达到延长广播路径寿命的目的。通过消除冗余的重播,可以进一步节省功耗。该过程将通过插图进行说明。特别地,这种冗余的去除取决于源节点。仿真结果证实了所提出算法的改进。

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