Advances in embedded systems and mobile communication have led to the emergence of smaller, cheaper, and more intelligent\r\nsensing units. As of today, these devices have been used in many sensor network applications focused at monitoring environmental\r\nparameters in areas with relative large geographical extent. However, in many of these applications, management is often\r\ncentralized and hierarchical. This approach imposes some major challenges in the context of large-scale and highly distributed\r\nsensor networks. In this paper, we present a multilayered, middleware platform for sensor networks offering transparent data\r\naggregation, control, and management mechanisms to the application developer. Furthermore, we propose the use of multiagent\r\nsystems (MASs) to create a computing environment capable of managing and optimizing tasks autonomously. In order to ensure\r\nthe scalability of the distributed data fusion, we propose a three-step procedure to balance the workload among machines using\r\nmobile agent technology
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