Self-organizing Network-based Mobility Prediction Mechanism Of Olsr Routing Protocol

Mobile ad-hoc network are multi-hop temporary autonomous system composed of mobile nodes and the network is without any fixed infrastructure or any center controller. The main characters of Manets are self-organization and multi-hop communication. So, it is widely applied in the fields of civil data communication and emergency environments. The routing protocol plays an important role in Manets. In this paper, I study the olsr routing protocol in detail. In OLSR, it uses mpr technology to reduce the overhead aroused by flooding control message. And it can be used in networks wieh large sale. But the problem is that, all mobile nodes can join, leave and mobile random at any time and any location in Manets. Therefore the link break between nodes will be unavoidable or not optimistic. So, in this paper, I propose a routing protocol MP-OLSR called mobility prediction based olsr protocol, in order to reduce the network's uncertain state information to infect the routing protocol.In this paper, my studies are that: First, I analyse the node's movement rules under the network's mobility model, abstract the mathematical model of node movement, use several parameters and node movement vector to depict the node's inherent regularity, and last predict the time-τholding probability of bidirectional link; Second, I design a new mpr algorithm based node's cut strategy, and use exponential algorithm model to balance the link stability and node's overlay degree in the conception of node's relative neighbor's link stability with node's overlay degree;Third, In routing table calculation the routing algorithm can find a relative more stabile route for transmission.;At last, I extend the olsr with mobility prediction including the data struct and main routing algorithm, and form mp-olsr routing protocol.In the last, I simulate the protocol mp-olsr and olsr in NS2, and compare them. The results validate the expended olsr based on mobility prediction is effective. Finally the suggestion for future research of the field is given.