With the growth in the computation capacity of sensor nodes, they are increasingly equipped to handle more complex functions. Moreover, the need to realize the complete loop of sense-control-actuate as the wired sensing facility, demands for more in-network processing. To this end, some primitives

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sensors

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

Abstract. Semantic sensor networks use declarative descriptions of sen-sors promote reuse and integration, and to help solve the difficulties of installing, querying and maintaining complex, heterogeneous sensor net-works. This paper reviews the state of the art for the semantic specifi-cation

works seamlessly on top of existing low-power MAC layers. Together, these results suggest that Magnet can be the robust, efficient collection layer that so many sensor network applications and protocols need. 1

based on ETX/ETT-type metrics, but the metrics are estimated via MAC feedback for unicast data transmission instead of broadcast beacons. Using a realistic sensor network traffic trace and an 802.11b testbed of ∼195 Stargates, we experimentally compare the performance of LOF with that of beacon

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Abstract—In this paper, we propose an Anomaly Detection (AD) approach for medical Wireless Sensor Networks (WSNs). This approach is able to detect abnormal changes and to cope with unreliable or maliciously injected measurements in the network, without prior knowledge of anomalous events or normal