Research On Coding-Aware Green Routing Algorithm In Software-Defined Sensor Network

With the rapid development of wireless sensor network(WSN),wireless sensor network has been applied to many fields widely.Howerver,with the the increasing communication of data,the traditional wireless sensor network is difficult to meet the high standards of communication efficiency.The wireless sensor network architecture adopts a traditional Internet architecture and cannot be changed according to the state of the network flexibly.Moreover,the wireless sensor network node is powered by a limited battery,it is difficult to be supplied after it is used up.In this paper,we analyze the above two aspects of the sensor network.The main research work includes:The traditional wireless sensor network architecture has the problem of changing strategy difficultly and low scalability.To solve the problem,a software-defined sensor network(SDSN)architecture is given.In this architecture,we design the software defined sensor network architecture model and custom controller architecture,we analyze the functions of each management module in the controller architecture.And considering the limited energy of sensor nodes.A coding-aware green routing algorithm(CAGR)is proposed in the SDSN architecture of this paper.The routing metric is designed in this algorithm,which take into account the coding opportunities,the load and the residual energy of the nodes.Then the opportunity forwarding mechanism is used to select the candidate forward set and the nodes are ranked in the candidate forwarding set,so that the nodes with higher priorities preferentially forward data.Experiments results show that the algorithm can improve network throughput,save network energy and balance node energy effectively.In order to studying the energy consumption of ordinary sensor nodes of data plane furtherly.In the SDSN architecture of this paper,a non-cooperative game power control algorithm is proposed.The power control optimization is cast as strategic non-cooperative game,where each sensor node is a player that competes against the others in resource allocation to maximize its own payoff function.Considering the residual energy and signalto-noise ratio of the nodes.The utility function of this paper is given,and it is proved that there is a Nash equilibrium in the power control game.Experiments results show that the power control algorithm in this paper can optimize the node transmit power effectively,which is important for nodes to save energy and extend the life cycle of the network.