能量优化是无线网络发展的重要问题，高能效的MAC协议也成为关键的基础研究课题。然而，如何优化异构无线网络的通信能量消耗和设计高能效的MAC协议仍是亟待解决的关键问题。为此，本项目将通过真实搭建的异构BSN-WiFi网络硬件平台来构建能量优化模型和设计高能效的MAC协议。具体的说，搭建可应用于医疗监护的BSN-WiFi网络硬件平台，提高网络的应用性、便携性和可扩展性，同时收集能量消耗的数据；挖掘网络通信能量消耗的模型参数，构建以吞吐量和延迟为约束的BSN-WiFi网络能量优化模型，通过求解凸优化问题确定最优数据包尺寸和最优数据发送率，从而解决异构无线网络能量优化问题；根据能量优化模型，提出基于优先级的动态时隙分配算法和竞争窗口自适应算法，提高网络效率和性能，从而解决设计高能效MAC协议的问题。随着无线设备在未来的广泛应用，本项目的研究具有重要的理论意义和实际的应用价值。

Energy optimization is an important issue for the development of wireless networks and energy-efficient MAC protocol is a critically fundamental research topic. However, how to optimize the communication energy consumption of heterogeneous wireless networks and how to design energy-efficient MAC protocol are still the key problems to be solved. Therefore, this proposal will investigate the energy optimization of BSN-WiFi network and design an energy-efficient MAC protocol by establishing a real hardware platform of the heterogeneous BSN-WiFi network. More specifically, we first set up a medical-care platform of BSN-WiFi network, improve the applicability, portability and expandability of the network, and collect the data of energy consumption; then, we mine the model parameters of communication energy consumption of the network, build an energy optimization model for BSN-WiFi network with constraints of throughput and time delay, and present the optimal packet size and optimal data sending rate by solving the convex optimization problem, thereby addressing the energy consumption problem of heterogeneous wireless networks; in addition, according to the energy optimization model, we present a priority-based dynamic slot allocation algorithm and competition-based contention window adaptation algorithm, improve the efficiency and performance of the network, thereby addressing the problem of designing energy-efficient MAC protocol. With the wide applications of wireless devices in future, the research of this proposal has important theoretical significance and practical application value.