%0 Book Section %1 springerlink:10.1007/978-3-642-04385-7_16 %A Amundson, Isaac %A Koutsoukos, Xenofon %B Mobile Entity Localization and Tracking in GPS-less Environnments %D 2009 %E Fuller, Richard %E Koutsoukos, Xenofon %I Springer Berlin / Heidelberg %K wlanpos %P 235-254 %T A Survey on Localization for Mobile Wireless Sensor Networks %U http://dx.doi.org/10.1007/978-3-642-04385-7_16 %V 5801 %X Over the past decade we have witnessed the evolution of wireless sensor networks, with advancements in hardware design, communication protocols, resource efficiency, and other aspects. Recently, there has been much focus on mobile sensor networks, and we have even seen the development of small-profile sensing devices that are able to control their own movement. Although it has been shown that mobility alleviates several issues relating to sensor network coverage and connectivity, many challenges remain. Among these, the need for position estimation is perhaps the most important. Not only is localization required to understand sensor data in a spatial context, but also for navigation, a key feature of mobile sensors. In this paper, we present a survey on localization methods for mobile wireless sensor networks. We provide taxonomies for mobile wireless sensors and localization, including common architectures, measurement techniques, and localization algorithms. We conclude with a description of real-world mobile sensor applications that require position estimation.

@incollection{springerlink:10.1007/978-3-642-04385-7_16, abstract = {Over the past decade we have witnessed the evolution of wireless sensor networks, with advancements in hardware design, communication protocols, resource efficiency, and other aspects. Recently, there has been much focus on mobile sensor networks, and we have even seen the development of small-profile sensing devices that are able to control their own movement. Although it has been shown that mobility alleviates several issues relating to sensor network coverage and connectivity, many challenges remain. Among these, the need for position estimation is perhaps the most important. Not only is localization required to understand sensor data in a spatial context, but also for navigation, a key feature of mobile sensors. In this paper, we present a survey on localization methods for mobile wireless sensor networks. We provide taxonomies for mobile wireless sensors and localization, including common architectures, measurement techniques, and localization algorithms. We conclude with a description of real-world mobile sensor applications that require position estimation.}, added-at = {2010-10-13T11:03:44.000+0200}, affiliation = {Vanderbilt University Institute for Software Integrated Systems (ISIS) Department of Electrical Engineering and Computer Science Nashville TN 37235 USA}, author = {Amundson, Isaac and Koutsoukos, Xenofon}, biburl = {https://www.bibsonomy.org/bibtex/2ce562653d1ce3edaf4a83970aa0e0a8c/kw}, booktitle = {Mobile Entity Localization and Tracking in GPS-less Environnments}, editor = {Fuller, Richard and Koutsoukos, Xenofon}, interhash = {66ae491f753da8f1e91d8af4832d7ef6}, intrahash = {ce562653d1ce3edaf4a83970aa0e0a8c}, keywords = {wlanpos}, note = {10.1007/978-3-642-04385-7_16}, pages = {235-254}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2010-10-13T11:03:44.000+0200}, title = {A Survey on Localization for Mobile Wireless Sensor Networks}, url = {http://dx.doi.org/10.1007/978-3-642-04385-7_16}, volume = 5801, year = 2009 }