Abstract—We are interested in topological analysis and processing of the large-scale distributed data generated by sensor networks. Naturally a large-scale sensor network is depl...
—Detecting event frontline or boundary sensors in a complex sensor network environment is one of the critical problems for sensor network applications. In this paper, we propose ...
—This paper proposes a VIrtual Scanning Algorithm (VISA), tailored and optimized for road network surveillance. Our design uniquely leverages upon the facts that (i) the movement...
Abstract—Many sensor network applications are tightly coupled with the geometric environment where the sensor nodes are deployed. The topological skeleton extraction has shown gr...
Hongbo Jiang, Wenping Liu, Dan Wang, Chen Tian, Xi...
Abstract—We are interested in the sensor networks for scientific applications to cover and measure statistics on the sea surface. Due to flows and waves, the sensor nodes may g...
— In this paper we present an approach for localizing a sensor network augmented with a mobile robot which is capable of providing inter-sensor pose estimates through its odometr...
David Meger, Dimitri Marinakis, Ioannis M. Rekleit...
—Despite many technology advances, the limited computing power of sensors encumber them from taking part in service-oriented architectures. In recent years, the sensornetworking ...
—Wireless sensor networks have become a promising technology in monitoring physical world. In many applications with wireless sensor networks, it is essential to understand how w...
Min Xi, Kui Wu, Yong Qi, Jizhong Zhao, Yunhao Liu,...
Exploiting features of high density wireless sensor networks represents a challenging issue. In this work, the training of a sensor network which consists of anonymous and asynchro...
Francesco Betti Sorbelli, Roberto Ciotti, Alfredo ...
The deployment of sensor networks is both widespread and varied with more niche applications based on these networks. In the case study provided in this work, the network is provid...
Mark Roantree, Michael Whelan, Jie Shi, Niall Moyn...