Parameter self-adaptive adjustment method based on OLSR

Abstract

The invention provides a parameter self-adaptive adjustment method based on OLSR. Based on an OLSR implementation mechanism, a default value of the OLSR is set through a timer, a self-adaptive moduleis newly added, the time interval of sending HEILO information and TC information next time is calculated, and self-adaptive adjustment comprises the following specific steps that S1, the OLSR routingprotocol is initialized, and variables needing to be initialized and all storage tables are completed; s2, a timer is created and started, and scheduling processing is started; and S3, HELLO messageand TC message self-adaptive processing is performed by the self-adaptive module. According to the invention, the sending interval of the HELLO message can be adjusted according to the change condition of the local link set, and the sending time interval of the TC message can be adjusted according to the change condition of the local multipoint relay set MPR and the neighbor table.

Description

technical field [0001] The invention relates to the technical field of routing protocols, in particular to a method for adaptive adjustment of routing protocol parameters based on OLSR. Background technique [0002] Mobile ad hoc network (MANET network) is widely used in military communication and post-disaster emergency communication due to its self-organizing and self-healing characteristics. Many routing algorithms and protocols have been proposed for MANET networks, including on-demand routing protocols. Active routing protocols and hybrid routing protocols, etc. However, in the case of dynamic network topology changes caused by factors such as movement, interference, and complex terrain, how to adaptively select and use routes to ensure end-to-end service flow requirements has always been a hot research issue. For the OLSR routing protocol (Optimized Link State Routing, the optimal link state routing protocol) relies on nodes periodically exchanging HEILO messages and ...

AI Technical Summary

Problems solved by technology

However, in the case of dynamic network topology changes caused by factors such as movement, interference, and complex terrain, how to adaptively select and use routes to ensure end-to-end service flow requirements has always been a hot research issue. For the OLSR routing protocol (Optimized Link State Routing, the optimal link state routing protocol) relies on nodes periodically exchanging HEILO messages and TC messages to obtain link state information. The fixed transmission cycle cannot adapt to dynamic changes in network topology. When nodes move rapidly, the performance When the topology information expires, the route becomes invalid; when the node is static and the network topology does not change, network resources are wasted and the network load is increased.

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