TY - GEN
T1 - Design and implementation of a flexible location directory service for tiered sensor networks
AU - Bhattacharya, Sangeeta
AU - Fok, Chien Liang
AU - Lu, Chenyang
AU - Roman, Gruia Catalin
PY - 2007
Y1 - 2007
N2 - Many emergent distributed sensing applications need to keep track of mobile entities across multiple sensor networks connected via an IP network. To simplify the realization of such applications, we present MLDS, a Multi-resolution Location Directory Service for tiered sensor networks. MLDS provides a rich set of spatial query services ranging from simple queries about entity location, to complex nearest neighbor queries. Furthermore, MLDS supports multiple query granularities which allow an application to achieve the desired tradeoff between query accuracy and communication cost. We implemented MLDS on Agimone, a unified middleware for sensor and IP networks. We then deployed and evaluated the service on a tiered testbed consisting of tmote nodes and base stations. Our experimental results show that, when compared to a centralized approach, MLDS achieves significant savings in communication cost while still providing a high degree of accuracy, both within a single sensor network and across multiple sensor networks.
AB - Many emergent distributed sensing applications need to keep track of mobile entities across multiple sensor networks connected via an IP network. To simplify the realization of such applications, we present MLDS, a Multi-resolution Location Directory Service for tiered sensor networks. MLDS provides a rich set of spatial query services ranging from simple queries about entity location, to complex nearest neighbor queries. Furthermore, MLDS supports multiple query granularities which allow an application to achieve the desired tradeoff between query accuracy and communication cost. We implemented MLDS on Agimone, a unified middleware for sensor and IP networks. We then deployed and evaluated the service on a tiered testbed consisting of tmote nodes and base stations. Our experimental results show that, when compared to a centralized approach, MLDS achieves significant savings in communication cost while still providing a high degree of accuracy, both within a single sensor network and across multiple sensor networks.
UR - https://www.scopus.com/pages/publications/38149130700
U2 - 10.1007/978-3-540-73090-3_11
DO - 10.1007/978-3-540-73090-3_11
M3 - Conference contribution
AN - SCOPUS:38149130700
SN - 3540730893
SN - 9783540730897
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 158
EP - 173
BT - Distributed Computing in Sensor Systems - Third IEEE International Conference, DCOSS 2007, Proceedings
PB - Springer Verlag
T2 - 3rd IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2007
Y2 - 18 June 2007 through 20 June 2007
ER -