Aiming at the problem of wireless resource scarcity and errors caused by imperfect channel in Internet of Things (IoT) sensor network, a method for allocating bandwidth and power to Secondary IoT Device (SID), under the condition of imperfect Channel State Information (CSI), was proposed. Firstly, considering the secondary and primary situations, the imperfect CSI of links between secondary transmitter side and primary receiving end, secondary transmitter side and secondary receiving end were modeled. Secondly, a mechanism for allocating bandwidth and power to secondary IoT devices was proposed. Meanwhile, the measurement and corresponding penalty policy were considered when current bandwidth is not enough to allocate. The idea is to maximize the secondary Energy Efficiency (EE) while fully using resources in extent. Finally, Particle Swarm Optimization (PSO) algorithm and weighted Chebyshev method were implemented to solve the problem, which made it possible to obtain the optimal allocation policy while lowering the problem complexity. The simulation results show that compared with equal allocation method and random allocation method, the proposed method improves the overall system transmission rate and minimizes the average secondary IoT base station transmit power by 75%, which can effectively enhance the energy efficiency of the entire network.

In recent years, with the rapid development of Vehicular Adhoc NETwork (VANET), wellclassified routing protocol and comparative analysis are important for future study. This paper dealt with the ambiguous classification and deficient analysis of the routing protocol in VANET, classifying and summarizing the routing protocols on the basis of topology, geography and hybrid route in turn. Mainly introducing some classical routing protocols, it analyzed their characteristics and performance, and put forward the advantages and disadvantages as well as improvements. Special stress was put on the comparative analysis of Delay Tolerant Network (DTN) and opportunity routing protocol which would become hot spots for future geographic routing study. Besides, the major challenges and potential opportunities that VANET was facing were pointed out, which had laid the foundation of future protocol study and suggested the path to research clearly.

To study the fairness-optimization problem with different user-rate in non-regenerative relay network, a power allocation algorithm based on user-required rate proportional fairness was proposed. Because the source could not receive the messages of the user's hope rate, a pre-average allocation fairness algorithm was proposed to overcome the disadvantage of the prior algorithm. The simulation results show that the two algorithms realize goal of minimizing the difference between user-rate and required rate and save the resource in network with assuring the users' requirement of Quality of Service (QoS).