Learn More
Recent deployments of Smart Water Networks in urban environments are causing a paradigm shift towards sustainable water resources management. Nevertheless, there exists a substantial gap on respective solutions for industrial water treatment. In such deployments the wireless network backbone would have to overcome limiting factors that span across different(More)
An integrated system for a power-aware robotic-centric exploratory lunar mission is the subject of this article. The robots communicate with a base station with a flexible protocol that can automatically change its attributes from multi to single hopping strategies according to the QoS of the entire network. The base station is responsible for the tracking(More)
At an age when information access is no longer limited by physical barriers or distances, the desire to have continuous sensing and monitoring, rather than simple episodic or snapshot measurements represents the current trend in almost all sensing applications ranging from environment, transport, and infrastructure to well being, sports, and health care.(More)
—Over the last years significant efforts have been made to prevent and/or minimize exposure to a wide range of environmental risks (e.g. air pollution and nutrition) that adverse health effects especially among vulnerable populations including pregnant women. Towards this direction, mHealth approaches can provide the means for remotely capturing the(More)
This article focuses on the development of an integrated system for mobile robot odometry relying on an existing wireless transceiver infrastructure. The robot concurrently emits RF and ultrasound signals which are captured by the wireless sensor nodes. These nodes compute their distance from the robot and transmit back to the robot this information. The(More)
This article presents a case-study on the utilization of the mobile ad-hoc networks (MANETs) relying on the IEEE 802.15.4 protocol in control applications. The effects of the: a) adopted routing protocol of the network, b) number of communication nodes, c) network geographical topology, d) latency time, and e) the loss of packets and packet reordering, on(More)
Classification of activities of daily living is of paramount importance in modern healthcare applications. However, hardware monitoring constraints lead frequently to missing raw values, dramatically affecting the performance of machine learning algorithms. In this work, we study the problem of efficient estimation of missing linear acceleration and angular(More)