Mobile-agent-based collaborative signal and information processing in sensor networks
Mobile-agent-based collaborative signal and information processing in sensor networks
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DOI：
10.1109/jproc.2003.814927
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发表时间：
2003-08
期刊：
影响因子：
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通讯作者：
H. Qi;Yingyue Xu;Xiaoling Wang
中科院分区：
文献类型：
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作者：
H. Qi;Yingyue Xu;Xiaoling Wang
在本文中，我们开发了一种节能，容错的方法，多个传感器节点之间的协同信号和信息处理（CSIP）使用移动代理为基础的计算模型。在该模型中，不是每个传感器节点将本地信息发送到处理中心进行集成（这在基于客户端/服务器的计算中是典型的），而是通过移动的代理将集成代码移动到传感器节点。能量效率目标和容错目标之间总是存在冲突，这给CSIP算法的设计带来了独特的挑战。一般来说，节能方法试图限制算法中的冗余，使得完成某个任务所需的能量最小。另一方面，冗余是提供容错所必需的，因为传感器可能是有故障的、失灵的、甚至是恶意的。必须在这两个目标之间取得平衡。我们讨论了潜在的移动代理为基础的协作处理提供渐进的准确性，同时保持一定程度的容错。我们评估其性能相比，基于客户端/服务器的协作从能源消耗和执行时间的角度，通过模拟和分析研究。最后，以协同目标分类为例，验证了该方法的有效性。
In this paper, we develop an energy-efficient, fault-tolerant approach for collaborative signal and information processing (CSIP) among multiple sensor nodes using a mobile-agent-based computing model. In this model, instead of each sensor node sending local information to a processing center for integration, as is typical in client/server-based computing, the integration code is moved to the sensor nodes through mobile agents. The energy efficiency objective and the fault tolerance objective always conflict with each other and present unique challenge to the design of CSIP algorithms. In general, energy-efficient approaches try to limit the redundancy in the algorithm so that minimum amount of energy is required for fulfilling a certain task. On the other hand, redundancy is needed for providing fault tolerance since sensors might be faulty, malfunctioning, or even malicious. A balance has to be struck between these two objectives. We discuss the potential of mobile-agent-based collaborative processing in providing progressive accuracy while maintaining certain degree of fault tolerance. We evaluate its performance compared to the client/server-based collaboration from perspectives of energy consumption and execution time through both simulation and analytical study. Finally, we take collaborative target classification as an application example to show the effectiveness of the proposed approach.