基于启发式算法采集模型在MANET中的研究

Research of Collection Model Based on Heuristic Algorithm in MANET

在移动自组织网络中,由于节点的有限电量、高流动性和拓扑的频繁变化等挑战,使得数据在任何中间节点可能发生拥塞,从而导致网络中的巨大负载。在网络中如何高效地进行数据采集是一个具有挑战性的问题,目前已存在很多不同方面的协议来解决这个问题。提出一种数据采集模型,其利用一种最优启发式算法,可以配置在随机或受控制的无线传感网中,并将所提方法和其他一些协议进行了比较。仿真结果表明,所提方法可以满足不同层次的可靠性需求,同时平衡了整个网络功率消耗。

In the mobile ad hoc network, due to the limited power of nodes, high mobility and frequent changes in topology, the data may be congested in any intermediate node, leading to the huge load in the network. How to effectively carry out data acquisition in the network is a challenging problem. Several protocols have been proposed to deal with various aspects of this problem. A data collection model is proposed in this paper, which utilizes an optimal heuristic algorithm, and can be configured in a random or controlled deployment of WSN. The proposed method is compared with some other WSN protocols. Simulation results show that the proposed method can meet the needs of different levels of reliability while balancing the power consumption of the entire network.