Abstract
Monitoring a large area with stationary sensor networks requires a very large number of nodes which with current technology implies a prohibitive cost. The motivation of this work is to develop an architecture where a set of mobile sensors will collaborate with the stationary sensors in order to reliably detect and locate an event. The main idea of this collaborative architecture is that the mobile sensors should sample the areas that are least covered (monitored) by the stationary sensors. Furthermore, when stationary sensors have a "suspicion" that an event may have occurred, they report it to a mobile sensor that can move closer to the suspected area and can confirm whether the event has occurred or not. An important component of the proposed architecture is that the mobile nodes autonomously decide their path based on local information (their own beliefs and measurements as well as information collected from the stationary sensors in a neighborhood around them). We believe that this approach is appropriate in the context of wireless sensor networks since it is not feasible to have an accurate global view of the state of the environment.
Highlights
Recent progress in two seemingly disparate research areas namely, distributed robotics and low power embedded systems has led to the creation of mobile sensor networks [1]
In this paper we consider the problem of monitoring a large area using wireless sensor networks (WSNs) in order to detect and locate an event
In this paper we propose a collaborate event detection architecture for WSNs consisting of a large number of stationary nodes and a few mobile nodes
Summary
Recent progress in two seemingly disparate research areas namely, distributed robotics and low power embedded systems has led to the creation of mobile sensor networks [1]. Autonomous node mobility brings with it its own challenges, and alleviates some of the traditional problems associated with static sensor networks. It is envisaged that in the near future, very large scale networks consisting of both mobile and static nodes will be deployed for applications ranging from environmental monitoring to military applications [2]. In this paper we consider the problem of monitoring a large area using wireless sensor networks (WSNs) in order to detect and locate an event. In this context, we assume that the event emits a signal that is propagated in the environment. In addition to the incurred cost for sending response personnel to the area of the event, frequent false alarms may lead the users to ignore all alarms, and as a result even detected events will go unnoticed
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