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https://scholarbank.nus.edu.sg/handle/10635/154022
Title: | DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK | Authors: | XU JIN | Keywords: | multi-sensor multi-target tracking decentralized algorithm |
Issue Date: | 2004 | Citation: | XU JIN (2004). DESIGNING LOCAL BEHAVIOR TO ACHIEVE GLOBAL OBJECTIVES: AN APPLICATION ON ACOUSTIC SENSOR NETWORK. ScholarBank@NUS Repository. | Abstract: | This paper proposes a decentralized algorithm for a multi-sensor multi-target tracking problem. For the problem we consider, there are several challenges to address. First, sensor nodes have energy constraints imposed by their finite power supply, which motivates computations that are energy-conserving. Second, the utility derived from a sensing task may vary depending on the placement and size of the set of nodes who participate, which often involves complex objective functions for sensor nodes to targets. Finally, nodes must attempt to realize the system global objectives with only local information. We present a concrete model a specific application, in which we define appropriate local behavior to achieve global objectives. Then, for an important class of utility functions, we present a decentralized algorithm which attempt to maximize the utility derived from the sensor network over its lifetime. The algorithm and experimental results we present enable sensor agents to adaptively change their roles over time and use dynamic reconfiguration of routes to load balance energy consumption in the network. The simulation result proved to be robust against uncertainty. | URI: | https://scholarbank.nus.edu.sg/handle/10635/154022 |
Appears in Collections: | Master's Theses (Restricted) |
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