机器人无线传感器网络中的受控直线移动和能量感知路由

R. Falcon, Hai Liu, A. Nayak, I. Stojmenovic
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引用次数: 22

摘要

功率感知路由和控制移动方案是改善无线传感器网络通信的两种常用机制。前者在选择路由上的下一跳时积极考虑传输成本,后者指示移动中继节点(传感器或执行器)寻找更有希望的位置,以优化端到端传输功率。很少(如果有的话)同时利用这两种方法来实现相关的能源节约和延长网络生命周期。本文介绍了一种用于网络通信优化的混合路由-移动模型。首先,我们以节能的方式找到源和目标之间的多跳路径,然后我们以不间断的方式将所有跳节点直接移动到具有最佳节能特性的预定义点,充分保持路径移动时的连通性。这种协同的方法使我们能够:(1)无论网络密度(每个节点的平均邻居数量)如何,都能无缝地保证消息的传递;(2)很容易地将任何与功率相关的优化标准纳入路由协议;(3)甚至是两个终端节点实际上彼此断开连接的目标场景。从大量模拟中收集的结果支持引入所提议的混合框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlled Straight Mobility and Energy-Aware Routing in Robotic Wireless Sensor Networks
Power-aware routing and controlled mobility schemes are two commonly used mechanisms for improving communications in a wireless sensor network. While the former actively consider the transmission costs when selecting the next hop on the route, the latter instruct mobile relay nodes (either sensors or actuators) to pursue more promising locations so as to optimize end-to-end transmission power. Rarely, if ever, the two methodologies are exploited together for achieving relevant energy savings and prolonging network lifetime. In this paper, we introduce a hybrid routing-mobility model for the optimization of network communications. First, we find a multi-hop path between a source and its destination in an energy-efficient fashion and then we move all hop nodes in an uninterrupted, straight manner to some predefined spots with optimal energy-saving properties, fully preserving the path connectivity as they move. Such synergetic approach allowed us to: (1) seamlessly guarantee message delivery regardless of the network density (average number of neighbors per node), (2) easily incorporate any power-related optimization criterion to the routing protocol and (3) even target scenarios where both end nodes are actually disconnected from each other. Results gathered from extensive simulations argue for the introduction of the proposed hybrid framework.
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