Research On Ad-hoc Network Routing Protocols And Resource Allocation

With the development of digital medicine technology and embedded system, some wearable medical devices are available now. Equipped with these portable devices, many medical cares such as emergency rescues can be done outdoors. However, this application brings new challenges to the research on wireless communication, that is, how to transmit data among devices situated in different areas. This thesis focuses on this issue by the aid of game theory.First of all, an Energy-Aware and Load-Balanced (EALB) routing protocol, which aims to medical emergency rescue networks, is proposed. By defining residual energy of a node as route cost, considering the influence of link shares on energy use and using request admit control, EALB increases the packet delivery fraction and prolongs the network lifetime. The simulation results show that EALB performs better than AODV in terms of the above two aspects.Then the selfish network behavior and network pricing based on game theory is discussed. Since the existence of selfish nodes will lead to bad performance of networks, the behavior of nodes is modeled as a game. The analysis shows the importance of the detection and isolation of selfish nodes. Regarding the influence of network price on traffic loads, the model is based on the assumption that the cost of transmission depends on the end-to-end delay and users' flow rates. By optimizing users' objective functions, it proves that the model admits one and only one Nash equilibrium, which can be accessed by using gradient algorithm.