Mobility prediction and routing in ad hoc wireless networks
International Journal of Network Management
Multipoint Relaying for Flooding Broadcast Messages in Mobile Wireless Networks
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 9 - Volume 9
Signal Strength-Based Routing Protocol for Mobile Ad Hoc Networks
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
A high-throughput path metric for multi-hop wireless routing
Wireless Networks - Special issue: Selected papers from ACM MobiCom 2003
Ad hoc routing based on the stability of routes
Proceedings of the 4th ACM international workshop on Mobility management and wireless access
A stable weight-based on-demand routing protocol for mobile ad hoc networks
Information Sciences: an International Journal
Route Stability Based QoS Routing in Mobile Ad Hoc Networks
Wireless Personal Communications: An International Journal
A link stability-based multicast routing protocol for wireless mobile ad hoc networks
Journal of Network and Computer Applications
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
Link stability estimation based on link connectivity changes in mobile ad-hoc networks
Journal of Network and Computer Applications
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In this paper, we propose a new mechanism to establish stable and sustainable paths between all pairs of nodes in a Mobile Ad hoc Network. In this mechanism, we use a stability function as the main path selection criterion based on the calculation of the mobility degree of a node relative to its neighbor. We applied this mechanism on the OLSR protocol (Optimized Link State Routing Protocol) to elect stable and sustainable MPR (Multipoint relays) nodes and topology. This mechanism significantly minimizes the recalculation of MPR and the routing tables recalculation process. Moreover, it guarantees other QoS (Quality of Service) metrics such as the packet loss and the response time. The simulation results show the effectiveness of our mechanism and encourage further investigations to extend it in order to guarantee other QoS requirements.