This paper focuses on the use of mobile sensors to estimate contours in a field. In particular, we focus on strategies to estimate the contour with minimum latency and maximum precision. We propose a novel algorithm, ACE (Adaptive Contour Estimation), that (a) estimates and exploits information

explore various ways of guiding a set of mobile sensors optimally so as to surround and trace the contour. We formulate the contour estimation problem as a nonlinear multi-extremal optimization problem. We use accuracy and latency as performance metrics and show that in majority of the cases our proposed

reactive mobility to improve the target detection performance of wireless sensor networks. In our approach, mobile sensors collaborate with static sensors and move reactively to achieve the required detection performance. Specifically, mobile sensors initially remain stationary and are directed to move

). This paper exploits reactive mobility to improve the target detection performance of wireless sensor networks. In our approach, mobile sensors collaborate with static sensors and move reactively to achieve the required detection performance. Specifically, mobile sensors initially remain stationary

This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable

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Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments

Abstract—Wireless sensor network protocols and applications typically need to be evaluated and tested not only using simulators but also on testbeds. While simulations allow studying the performance of protocols and applications in a controlled environment, they usually do not provide a sufficient

Wireless sensor networks are used to collect sensor data in different applications such as environmental monitoring, smart building control, and health care applications. Wireless sensor nodes used are typically small, low-cost, and battery powered. The nodes are often hard to access after