Coordinating aerial robots and unattended ground sensors for intelligent surveillance systemsShow others and affiliations
2010 (English)In: International Journal of Computers, ISSN 1841-9836, E-ISSN 1841-9844, Vol. 5, no 1, p. 52-70Article in journal (Refereed) Published
Abstract [en]
Sensor networks are being used to implement different types of sophisticated emerging applications, such as those aimed at supporting ambient intelligence and surveillance systems. This usage is enhanced by employing sensors with different characteristics in terms of sensing, computing and mobility capabilities, working cooperatively in the network. However, the design and deployment of these heterogeneous systems present several issues that have to be handled in order to meet the user expectations. The main problems are related to the nodes' interoperability and the overall resource allocation, both inter and intra nodes. The first problem requires a common platform that abstracts the nodes' heterogeneity and provides a smooth communication, while the second is handled by cooperation mechanisms supported by the platform. Moreover, as the nodes are supposed to be heterogeneous, a customizable platform is required to support both resource rich and poorer nodes. This paper analyses surveillance systems based on a heterogeneous sensor network, which is composed by lowend ground sensor nodes and autonomous aerial robots, i.e. Unmanned Aerial Vehicles (UAVs), carrying different kinds of sensors. The approach proposed in this work tackles the two above mentioned problems by using a customizable hardware platform and a middleware to support interoperability. Experimental results are also provided.
Place, publisher, year, edition, pages
Oradea, Romania: University of Oradea , 2010. Vol. 5, no 1, p. 52-70
Keywords [en]
Heterogeneous platforms, Sensor networks, Unmanned vehicles systems, Wireless communication
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:hh:diva-14176ISI: 000273615000005Scopus ID: 2-s2.0-77951162741OAI: oai:DiVA.org:hh-14176DiVA, id: diva2:390385
2011-01-212011-01-212018-03-23Bibliographically approved