Hierarchical Location Service with Prediction in Mobile Ad-Hoc Networks
Ebtisam Amar (1), Selma Boumerdassi (2), \'Eric Renault (3,4) ((1), University of Pierre, Marie Curie, France, (2) CNAM - CEDRIC, France, (3), Institut T\'el\'ecom - T\'el\'ecom SudParis, France, (4) Samovar UMR, INT-CNRS, France)

TL;DR
This paper introduces PHLS, a hierarchical location service with predictive capabilities for mobile ad-hoc networks, improving routing efficiency by using hierarchical regions and location prediction.
Contribution
It proposes a novel hierarchical location service that incorporates prediction to enhance position discovery in mobile ad-hoc networks.
Findings
Reduces location update frequency through hierarchical structure.
Improves routing accuracy with location prediction.
Enhances scalability of location services in large networks.
Abstract
Position-based routing protocols take advantage of location information to perform a stateless and efficient routing. To enable position-based routing, a node must be able to discover the location of the messages' destination node. This task is typically accomplished by a location service. Recently, several location service protocols have been developed for ad hoc networks. In this paper we propose a novel location service called PHLS: Predictive Hierarchical Location Service. In PHLS, the entire network is partitioned into a hierarchy of smaller and smaller regions. For each node, one node in each-level region of the hierarchy is chosen as its local location server. When the network initializes or when a node attaches the network, nodes contact their local location server with their current location information (ie. position and velocity). Then, they only need to update their location…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
