Resource Scheduling And Management In Wireless Multimedia Sensor Networks

With the development of wireless multimedia sensor networks, more and moretypes of data services in the network, the increasing amount of data, it is necessary toimprove the resource utilization of bandwidth and band. Resource-constrained node inthe net, it also needs to consider how to save energy. With the resource-constrainednodes in the multimedia wireless sensor network, the more and more types of datatraffic and the larger amount of data more conditions, it is very important to schedulethe nodes, allocate the resource and improve the overall network performancereasonably.In this paper, it studies the problem of network scheduling and resource allocationdeeply combining the hierarchical model in the wireless multimedia sensor networks. Itdivides the entire network into sub-clusters, differs the data services based on differenttypes of data, schedules the nodes according to the different priorities of the respectivenodes, the node performs scheduling. After selecting the nodes, it introduces theOFDMA technology at the bottom of stack and then makes the sub-carrier assignmentand power allocation of the nodes. Due to the limited resources of nodes, it separates thesubcarrier allocation and power allocation for reducing the complexity of the network.It studies the allocation method deeply in the subcarrier allocation. This allocationcombines the characteristics of multimedia wireless sensor networks adaptive allocationand allocates the subcarrier adaptively depending on the channel conditions in thetime-varying environment. This method can increase the transmission rate of the system,and ensure the fairness of the entire system at the same time.Taking into account the complexity of the network environment in the powerdistribution, it introduces the channel gain and the distance from the node to the clusterhead into the pricing function and uses the game theory ideology to allocate the power.It is possible to get the maximum transmission rate with the constrained nodes in thenetwork.After the simulation, it shows that the algorithm of this paper can ensure that thetransmission rate can save energy at the same time, and also ensure the fairness betweenthe various nodes in the network, and reduce complexity as well.