Study On The Routing Protocols Of Colliery Cognitive Radio Networks

The wireless communication channel of colliery tunnel is a dynamic model affected by many environmental parameters. Existing wireless communication systems can't change their device parameters automatically with the change of colliery channel model, so have bad performances, especially in tragedy cases. The full cognitive radio may be a good solution to this problem. So, we want to use the full cognitive ratio to resolve the adaptive communication problems in mine, making communication devices reconfigure themselves through the circumstance cognition.A universal cognitive radio networks model for colliery and an integrated framework for node deployment and cognitive information processing and application were brought forward in this dissertation. The CRN model senses and collects environmental information through regional cognitive radio networks, receives and understands the users'requirements. The cognitive nodes form unregularly chains in laneway and clusters in larger area whose data can be forwarded using clustering routing algorithms. Datasets are extracted as ontology information base and meta-data base, and their contents are routed to specific applications through data interpretation module, work flow description module and data routing system.Because of the changing and time-varying communication circumstance, many communication details can't be foreseen by designer. For this reason, we designed a routing protocol based on extended ant colony algorithm to find data path heuristically. Moreover, the mine tunnel is a limited space and need not to broadcast data in every direction, so the broadcast angle can be restricted in a flood scope to decrease routing cost. The protocol explores path through forward ants, updates routing information of intermediate nodes through backward ants, reports and maintains existing path using error ants. This protocol considers both end-to-end delay and nodes'available SOP information, so can avoid the flow unbalance problem. The zero cluster head and cluster head unbalance problems were discovered in clustering routing algorithms. Zero cluster head problem will lead to dummy rounds which waste the node energy and affect the authenticity of algorithm analysis. Cluster unbalance problem will lead to inequality of energy consumption between nodes, and makes some nodes die quickly. After analyzing the arisen reasons of these two problems, we advanced three solutions, including adaptive round number modification of an epoch, adjusting factor and compound method. Based on the research of clustering principles, we put forward two clustering routing algorithms for colliery cognitive radio networks, one is layered clustering routing algorithm (LCRA), the other is energy balanced clustering routing based on Voronoi graph (EBCRV). The LCRA divides the network into some sub regions based on the topology characteristics. EBCRV considers not only the randomicity of head erection, but also the balance of head number of each round. Besides, the EBCRV take the residual energy of node as one of head erection metrics, making the energy consumption more uniform.There are 60 figures, 6 tables and 132 references in this dissertation.