TY - GEN
T1 - Roadmap query for sensor network assisted navigation in dynamic environments
AU - Bhattacharya, Sangeeta
AU - Atay, Nuzhet
AU - Alankus, Gazihan
AU - Lu, Chenyang
AU - Bayazit, O. Burchan
AU - Roman, Gruia Catalin
PY - 2006
Y1 - 2006
N2 - Mobile entity navigation in dynamic environments is an essential part of many mission critical applications like search and rescue and fire fighting. The dynamism of the environment necessitates the mobile entity to constantly maintain a high degree of awareness of the changing environment. This criteria makes it difficult to achieve good navigation performance by using just on-board sensors and existing navigation methods and motivates the use of wireless sensor networks (WSNs) to aid navigation. In this paper, we present a novel approach that integrates a roadmap based navigation algorithm with a novel WSN query protocol called Roadmap Query (RQ). RQ enables collection of frequent, up-todate information about the surrounding environment, thus allowing the mobile entity to make good navigation decisions. Simulation results under realistic fire scenarios show that in highly dynamic environments RQ outperforms existing approaches in both navigation performance and communication cost. We also present a mobile agent based implementation of RQ along with preliminary experimental results, on Mica2 motes.
AB - Mobile entity navigation in dynamic environments is an essential part of many mission critical applications like search and rescue and fire fighting. The dynamism of the environment necessitates the mobile entity to constantly maintain a high degree of awareness of the changing environment. This criteria makes it difficult to achieve good navigation performance by using just on-board sensors and existing navigation methods and motivates the use of wireless sensor networks (WSNs) to aid navigation. In this paper, we present a novel approach that integrates a roadmap based navigation algorithm with a novel WSN query protocol called Roadmap Query (RQ). RQ enables collection of frequent, up-todate information about the surrounding environment, thus allowing the mobile entity to make good navigation decisions. Simulation results under realistic fire scenarios show that in highly dynamic environments RQ outperforms existing approaches in both navigation performance and communication cost. We also present a mobile agent based implementation of RQ along with preliminary experimental results, on Mica2 motes.
UR - https://www.scopus.com/pages/publications/33746089944
U2 - 10.1007/11776178_2
DO - 10.1007/11776178_2
M3 - Conference contribution
AN - SCOPUS:33746089944
SN - 3540352279
SN - 9783540352273
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 17
EP - 36
BT - Distributed Computing in Sensor Systems - Second IEEE International Conference, DCOSS 2006, Proceedings
PB - Springer Verlag
T2 - 2nd IEEE International Conference - Distributed Computing in Sensor Systems, DCOSS 2006
Y2 - 18 June 2006 through 20 June 2006
ER -