| Wireless sensor networks(WSNs)are a new kind of network which is developing rapidly in recent years.It is the combination of modern communication technology,network technology and other related technologies.WSNs have the advantages of low cost,small volume,self-organization and so on,WSNs are usually deployed in abominable environments,but due to the poor performance of communication nodes and the transmission power is limited,it is difficult to accurately and reliable transmit the perception information to the sink node or the destination node.In power constrained wireless sensor networks,the rapid and reliable transmission of sensing information is the two most important goals.However,these two goals are contradictory.Usually,the rapid transmission of perception information will reduce the reliability of transmission,and vice versa.Therefore,there is an inherent tradeoff between the information transmission rates and the data transmission reliability.So how to improve the data transmission rates and ensure the reliability of data transmission become a significant research topic in WSNs.Based on the full analysis and research status of reliability rate of WSNs at home and abroad,we have studied the collaborative optimization problem of rate and reliability of WSNs.The main research contents and innovative works include:(1)Propose the model of reliability aware network utility maximization problem in WSNs environment which introduces a new item of error probability function in the target and the tradeoff parameter.We compromise to optimize the network performance of a problem from two aspects of rate and reliability of the utility by adjusting the tradeoff parameter.Secondly,,a cross-layer optimization algorithm with congestion control,rate control and power control is designed which bases on the dual decomposition and sub-gradient descent method.Thirdly,the convergence of the proposed algorithm is proved;Finally,the simulation results show the effectiveness and feasibility of the proposed algorithm by simulation.(2)The problem of cross-layer optimization for the rate and transmission reliability under the scene of limited interference is studied,based on the research of(1),we introduce interference and solve the model problem based on the interference,which is more close to the actual network environment,and the problem of model complexity is also increased.This paper converts the non-convex problem into a convex problem through the WMMSE algorithm and then uses the multiplier alternating direction(ADMM)algorithm by introducing auxiliary variables to have fully distributed solutions,in addition,compare ADMM algorithm with dual sub-gradient algorithm.Finally,the convergence of the distributed algorithm is verified by simulation and the superiority of the ADMM algorithm is verified.The simulation results show that the proposed algorithm is convergent,and the global optimal solution of the rate and reliability problem of WSNs based on interference is obtained.(3)Multiple Input Multiple Output(MIMO)technology has important research significance in data transmission reliability and transmission rate.Therefore,the research point is based on MIMO technology of data transmission rate and transmission reliability.The tradeoff optimization between the transmission rate and reliability by the diversity gain and the multiplexing gain of the MIMO technology.Its essence is to compromise the diversity gain and multiplexing gain of MIMO technology.Based on the research of(2),Proximal Jacobian ADMM algorithm is used to solve the problem,and the influence of the number of antennas on the transmission rate and transmission reliability is verified by simulation. |
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