Recently, health is paid attention more and more, exercise has been become a part of daily life. Meanwhile, with the development of sensors and mechanical intelligence, the sensor began to be is a popular approach to help people daily work, so the importance of research is to use the sensor within a simple method and low power. In this paper, the LPHBD - Low Power Human Behavior Detection Method with Low Sampling Frequency 3D-Accelerometer has been presented. In this system, only one low sampling rate accelerometer (only 5.5Hz) was used to detect the human behaviors like running, walking, sitting and so on, the low sampling rate is in order to save energy and simplify the algorithm, at the same time, maximize the use of machine learning so that it has increased the breadth and applicability, when it cannot too much waste the equipment resource. The experiment results show that behavior detection accuracy is almost greater than 95%, except accuracy of running behavior detection, which is about 86.4%.

Multi-channel multi-radio technology is considered as an efficient method to improve the performance of wireless networks, and routing protocol is always the key issue of wireless networks. In this paper, a multi-channel routing protocol for dual radio wireless networks is proposed, which is extended from the classical DSR routing protocol and named as Multi-Channel Dual Radio protocol (MCDR). A new routing criterion called WCETT-LB is defined and applied in MCDR, which does some improvements on WCETT and fully considers the factor of internal channel distribution among the adjacent paths, so it can assess channel conflict accurately. In addition, a load criterion L(P) is incorporated into WCETT-LB to reduce the network congestion. At last, the simulation results show that MCDR has greater performance on network throughput and average packets delay.

为增强多级安全网络（Multi-Level Security Network,MLSN）接入认证的性能和安全性,提出了一种新的接入认证协议。它对可信网络连接（Trusted Network Connection）进行增强,实现了双向的平台可信性评估;通过引入了安全属性检查组件,对平台接入中的失泄密隐患进行分析,进一步增强了MLSN接入的安全性;采用签密技术,减少了ML-SN接入认证过程中的公钥运算次数和消息交互轮数。通过对协议的比较和形式化分析,结果表明,所提出协议的计算和通信开销较小、安全性较高。