A scalable location service for geographic ad hoc routing
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
A Scalable Location Management Scheme in Mobile Ad-Hoc Networks
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Hierarchical location service for mobile ad-hoc networks
ACM SIGMOBILE Mobile Computing and Communications Review
Predictive Methods for Location Services in Mobile Ad Hoc Networks
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 12 - Volume 13
A survey on position-based routing in mobile ad hoc networks
IEEE Network: The Magazine of Global Internetworking
Semi-flooding location service: a cross-layer design
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
| Hi-index | 0.00 |
Position-based routing is often proposed as a means to achieve scalability in large mobile ad hoc networks. However, such routing protocols are heavily dependent on the existence of scalable location management services. In recent years, many location service protocols have been proposed for ad hoc networks such as the Grid Location Service (GLS), and the Hierarchical Location Service (HLS). In these location services, when a mobile node's location is needed, the previously stored information in the location server is used. Location errors can occur due to infrequent and/or lost updates to location servers, especially when the nodes are highly mobile. A query to a location server fails when a node moves far away from its previous location rendering the previously stored location in the location servers invalid. In this paper we propose a location service called Predictive-Hierarchical Location Service (PHLS) that uses a hierarchy of regions to achieve scalability, and predicts the requested location by utilizing previous location information (location, velocity) to improve the location accuracy. Our simulation results have shown that PHLS outperforms HLS.