基于蚁群优化的无线传感器网络可靠多对多路由

J. Grosso, A. Jhumka, M. Bradbury
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引用次数: 1

摘要

无线传感器网络(WSNs)在多对一通信环境下得到了广泛的研究,其中多个数据源向专用接收器发送消息。然而,在多对多通信领域的研究却很少。wsn中的多对多通信是一个日益增长的应用领域,包括自然和城市地区的火灾探测,以及建筑物内供暖和空调的监控。在本文中,我们提出了一种可扩展的多对多路由协议,该协议利用蚁群优化(ACO),适用于任意数量的源和汇。该协议将来自多个源的数据聚合到一个共享的节点骨干中,以减少发送的数据包总数,从而延长网络生命周期。使用Cooja网络模拟器的模拟结果表明,该协议能够实现95%以上的数据包传输率,并且该算法在更大的网络中变得更高效,相对于网络的大小,发送更少的数据包,以及在路由中涉及更少的节点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reliable Many-to-Many Routing in Wireless Sensor Networks Using Ant Colony Optimisation
Wireless sensor networks (WSNs) have been widely studied in the context of many-to-one communication, in which multiple data sources send messages to a dedicated sink. However, there has been little research in the area of many-to-many communication. Many-to-many communication in WSNs is a growing application area, with examples including fire detection in both natural and urban areas, and the monitoring of heating and air conditioning within buildings. In this paper, we propose a scalable many-to-many routing protocol that makes use of Ant Colony Optimisation (ACO) that is applicable for an arbitrary number of sources and sinks. The protocol aggregates data sent from multiple sources into a single, shared backbone of nodes to reduce the total number of packets sent and so increase network lifetime. Results from simulations using the Cooja Network simulator show that the protocol is able to achieve packet delivery ratios above 95%, with the algorithm becoming more efficient with larger networks, sending fewer packets relative to the size of the networks, as well as involving fewer nodes in routing.
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