Research On Routing Protocol For Wireless Sensor Monitoring Network In Coal Mines

In recent years, wireless sensor network (WSN) develops rapidly. Its structure is flexible, easy to deploy, self-organizing feature applicable to coal mines under harsh environments. In the wireless sensor network the node number huge also the battery charge and the replacement is extremely inconvenient. Therefore the node energy consumption question is one of network key solution questions. The route agreement is one of wireless sensor networking research core technologies, Designs the effective route agreement, make full uses the node energy, the balanced node energy consumption fully, thus lengthens WSN the life cycle is extremely essential.This article first carries on the analysis to the wireless sensor network and the route agreement. The comprehensive coal mine shaft wireless sensor network characteristic, has analyzed design goal of the mine shaft wireless sensor network route protocol and the advantage of choice clustering routing protocol. The Clustering routing protocol while saving the communi-cation energy, but there is energy consumption imbalance.Cluster is responsible for the management and communication of the cluster head, the node needs to retransmit the data near by the sink node, Because of their heavy burden caused the energy consumption, node mortality increased as a direct result, the network reduced life expectancy.Threshold response Coal mine Agent clustering routing based on Autonomy-Oriented Computing(AOC) is proposed?WSN network is converted into AOC system in this algorithm. Sensor nodes are managed by the Agent some autonomy in WSN network.All the actions and operations are autonomous. System goal with each individual goals to achieve objectives.The routing by setting thresholds to balance energy consumption,Avoid node on energy consumption too large and premature failure,To extend the network life cycle. Finally carries on the simulation to the TRMAC algorithm and Carries on the comparative analysis with the classical route agreement LEACH algorithm.