A mobile agent-based system for dynamic task allocation in clusters of embedded smart cameras

Third International Workshop on Intelligent Solutions in Embedded Systems, 2005. Pub Date : 2005-05-20 DOI:10.1109/WISES.2005.1438708

M. Bramberger, B. Rinner, H. Schwabach

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引用次数: 8

Abstract

This paper presents a dynamic task allocation method for smart cameras targeting traffic surveillance. Since our target platforms are distributed embedded systems with limited resources, the task allocation has to be light-weight, flexible as well as scalable and has to support real-time requirements. Therefore, surveillance tasks are not allocated to smart cameras directly, but to groups of smart cameras, so called surveillance clusters. We formulate the allocation problem as a distributed constraint satisfaction problem (DCSP) and present a distributed method for finding feasible allocations. Finally, a cost function is used to determine the optimal allocation of tasks. We have realized this dynamic task allocation using heterogeneous, mobile agents, which utilize their agencies and our embedded software framework to find the most appropriate mapping of tasks in a distributed manner. The dynamic task allocation has been implemented on our smart cameras (SmartCam), which are comprised of a network processor and several digital signal processors (DSPs) and provide a complex software framework.

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提出了一种针对交通监控目标的智能摄像机动态任务分配方法。由于我们的目标平台是资源有限的分布式嵌入式系统，任务分配必须是轻量级的、灵活的、可扩展的，并且必须支持实时需求。因此，监控任务不是直接分配给智能摄像机，而是分配给一组智能摄像机，即所谓的监控集群。我们将分配问题表述为分布式约束满足问题，并提出了一种寻找可行分配的分布式方法。最后，使用成本函数来确定任务的最优分配。我们使用异构的移动代理实现了这种动态任务分配，这些代理利用它们的代理和我们的嵌入式软件框架以分布式的方式找到最合适的任务映射。动态任务分配已经在我们的智能相机(SmartCam)上实现，它由一个网络处理器和几个数字信号处理器(dsp)组成，并提供一个复杂的软件框架。

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Third International Workshop on Intelligent Solutions in Embedded Systems, 2005.

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