面向大规模多汇聚无线传感器网络负载均衡的跨层通信协议

Aysegül Tüysüz Erman, T. Mutter, L.F.W. van Hoesel, P. Havinga
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引用次数: 14

摘要

汇聚是传感器网络中的一种基本操作,它是指从一组传感器节点收集数据并将其转发到网络中共同的端点网关即汇聚节点的通信模式。当网络中存在多个汇聚点时,必须在这些汇聚点之间平衡网络的总负载,以最大限度地减少由于汇聚点附近的拥塞和碰撞而导致的无线传感器网络(WSNs)汇聚过程中的丢包问题。在SENSEI项目中,我们提出了一种新的跨层通信协议,用于多sink无线传感器网络的高效数据分发。它基本上结合了网络范围内的负载平衡、集群技术和本地路由优化与SENSEI架构,使其在全局和本地级别上都高效。对所提技术的性能评估显示了我们的路由协议如何在不需要额外的控制包来维护路由树的情况下平衡网络负载。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A cross-layered communication protocol for load balancing in large scale multi-sink wireless sensor networks
One of the fundamental operations in sensor networks is convergecast which refers to the communication pattern in which data is collected from a set of sensor nodes and forwarded to a common end-point gateway, namely sink node, in the network. In case of multiple sinks within the network, the total load of the network has to be balanced among these sinks to minimize the problem of packet loss in the convergecast process in wireless sensor networks (WSNs) due to congestion and collisions near the sinks. In this paper, we present a novel cross-layered communication protocol for efficient data dissemination in multi-sink WSNs which is under consideration of SENSEI project. It basically combines network wide load balancing, clustering techniques and local routing optimizations with SENSEI architecture which make it efficient on both global and local level. The performance evaluation of the proposed technique shows how our routing protocol can balance the network load without additional control packets for routing tree maintenance.
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