Research Of Sensor Cluster Resource Scheduling Algorithm For Shockwave-Field Wireless Collection System

The shockwave generated by artillery,missiles and other weapons during launch is an important basis to measure the performance of armament.It is not only closely related to the security of personnel in the battlefield,but also provides a reference for the protection design of equipment.Therefore,rapid and accurate measurement of shockwave parameters is important for its damage assessment.As one of the key technologies of shockwave field remote test and collection,compared with wired system,wireless system not only improves the test efficiency,but also avoids personnel and equipment damage.However,the real-time collection with multi nodes and large amount of data still brings burden to the wireless link and results network congestion,transmission delay surge and other problems.In view of this,this paper studies the allocation and scheduling of wireless channel resources for improving the network performance,reducing the transmission delay and keeping the high channel effective utilization and throughput in the scenario of concurrent access of distributed test nodes.The main contents are summarized as follows:(1)In the DCF(Distributed Coordination Function)wireless transmission mode,all nodes are allowed to access the shared channel only after a channel competition process.It not only directly affects the probability of channel contention and waiting delay between nodes,but also indirectly affects the utilization and total throughput of the shared channel.To solve this problem,this paper establishes the channel model and node scheduling model for the wireless transmission system inspired by the large-scale burst access model,and proposes a node backoff counter initial value setting algorithm based on gray wolf optimization algorithm to reduce the probability of conflict and the occurrence of congestion.Simulation results show that the strategy solved by the proposed algorithm can effectively reduce the probability of channel contention and improve the throughput of the system.(2)In the PCF(Point Coordination Function)wireless transmission mode,the wireless access point directly controls the shared channel time-slot,when the node uses,through the broadcast network allocation vector.Although the contention can be avoided,the allocation strategy also directly determines the system throughput.As an extension of the DCF mode,this paper not only further optimizes the wireless transmission system model to improve the applicability in this mode,but also designs a wireless node scheduling strategy solution method according to the characteristics of this mode.The algorithm takes the grouping weight proportional fair scheduling algorithm as the fitness function of gray wolf optimization algorithm,and finds the best scheduling strategy according to the criterion of minimum scheduling priority variance between nodes.Simulation results show that,compared with other algorithms,the algorithm can accurately and quickly converge the objective function to ensure the average transmission rate,reduce the average transmission delay and improve the throughput.