Location-aided routing (LAR) in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A group mobility model for ad hoc wireless networks
MSWiM '99 Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Mobility prediction and routing in ad hoc wireless networks
International Journal of Network Management
Efficient Broadcasting with Guaranteed Coverage in Mobile Ad Hoc Networks
IEEE Transactions on Mobile Computing
Localized Broadcast Incremental Power Protocol for Wireless Ad Hoc Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
Mobility-Sensitive Topology Control in Mobile Ad Hoc Networks
IEEE Transactions on Parallel and Distributed Systems
Mobility adaptive unequal cluster-based routing protocol in wireless sensor networks
International Journal of Sensor Networks
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In mobile ad hoc networks (MANETs), node mobility causes network topologies to change dynamically over time, which complicates such important tasks as broadcasting and routing. In a typical efficient localized approach, each node makes forwarding decisions based on a neighborhood local view constructed simply by collecting received ''Hello'' messages. That kind of neighborhood local view can become outdated and inconsistent, which induces a low-coverage problem for efficient broadcasting tasks and a low-delivery ratio problem for efficient routing tasks. In this paper, we propose a neighborhood tracking scheme to guarantee the accuracy of forwarding decisions. Based on historical location information, nodes predict the positions of neighbors when making a forwarding decision, and then construct an updated and consistent neighborhood local view to help derive more precise forwarding decisions. The inaccuracy factors of our scheme are also discussed and an accessory method is provided for possible usage. Simulation results illustrate the accuracy of our proposed tracking scheme. To verify the effectiveness of our scheme, we apply it to existing efficient broadcast algorithms. Simulation results indicate that our neighborhood tracking scheme can improve the protocols coverage ratio greatly.