基于自适应波束天线自组网的能量效率拓扑控制

 针对自适应波束定向天线自组网,运用样方统计法推导自组网高概率连通的关键传输半径和邻居数K,提出一种基于邻居数的分布式拓扑控算法DK-Neigh,构建结点出度等于(或略小于)K的有向连通拓扑图.仿真结果表明:DK-Neigh可以保证网络连通率大于96%;当天线波束宽度小于60时,DK-Neigh的结点节能比全向天线K-Neigh算法提高15%.DK-Neigh在保证网络高概率连通的同时减少结点能耗,提高网络能量效率.

An Energy Efficient Topology Control for Ad Hoc Networks with Steered Beam Antennas

Topology control aims to maintain network connectivity and reduce energy consumption for Ad hoc networks using steered beam directional antennas. To derive analytical expressions to determine the critical transmission range and neighbor number K, we employ quadrat statistical methods. A distributed neighbor-based topology control approach, referred to as the DK-Neigh, is proposed to maintain the outdegree of every node equal to or slightly below a specific value K. The approach can build the resulting communication graph with high probability connected. Extensive simulations are carried out, which show that the DK-Neigh is to achieve a high probability (more than 96%) of connectivity. If width of beam is smaller than 60, average energy cost of nodes is reduced at least 15% than the topology control protocol K-Neigh using omni-directional antennas. Simulations show the DK-Neigh is more energy-efficient while maintaining network connectivity.