Battery-Aware Routing for Streaming Data Transmissions in Wireless Sensor Networks

Recent technological advances have made it possible to support long lifetime and large volume streaming data transmissions in sensor networks. A major challenge is to maximize the lifetime of battery-powered sensors to support such transmissions. Battery, as the power provider of the sensors, therefore emerges as the key factor for achieving high performance in such applications. Recent study in battery technology reveals that the behavior of battery discharging is more complex than we used to think. Battery powered sensors might waste a huge amount of energy if we do not carefully schedule and budget their discharging. In this paper we study the effect of battery behavior on routing for streaming data transmissions in wireless sensor networks. We first give an on-line computable energy model to mathematically model battery discharge behavior. We show that the model can capture and describe battery behavior accurately at low computational complexity and thus is suitable for on-line battery capacity computation. Based on this battery model we then present a battery-aware routing (BAR) protocol to schedule the routing in wireless sensor networks. The routing protocol is sensitive to the battery status of routing nodes and avoids energy loss. We use the battery data from actual sensors to evaluate the performance of our protocol. The results show that the battery-aware protocol proposed in this paper performs well and can save a significant amount of energy compared to existing routing protocols for streaming data transmissions. Network lifetime is also prolonged with maximum data throughput. As far as we know, this is the first work considering battery-awareness with an accurate analytical on-line computable battery model in sensor network routing. We believe the battery model can be used to explore other energy efficient schemes for wireless networks as well.     

金沙江防洪(库容)规划的探讨

在分析长江灾害洪水特征的基础上，全面深入地研究了全沙江水库的防洪库客、防洪目标、防洪特点和调度原则，并对防洪库容的作用进行了估算和分析。从多方面比较了虎跳峡高坝方案与低坝方案，结果表明：高坝方案的效益明显高于低坝方案，而两者所需付出的代价相差不大。     

基于无线收发数传模块PTR2030的温度测控系统设计

PTR2030是超小型、超低功耗、高速率的无线数传MODEM模块。它性能优异，是目前低功率无线数传应用方面的理想器件。文中介绍了PTR2030的主要特点、引脚功能、软件设计、硬件连接方法及具体应用电路。     

面向WLAN的MPC852T嵌入式系统设计

MPC852T是Motorola新近推出的MPC866/MPC859T家族中面向低端的一款通信处理器.嵌入式Linux由于其费用低廉及开放源码而具有广阔的发展前景.文中在分析了MPC852T通信处理器和嵌入式Linux操作系统的基础上,将二者结合给出了一种嵌入式硬件系统的设计与实现,以及该硬件系统在无线局域网WLAN中的一种应用.实践证明,该硬件系统具有性能稳定、廉价、可扩展性强、适用面广等优点.     

一种具有弹性服务质量要求的多业务最优接纳控制策略

随着无线网络所支持的业务种类的增加和具有弹性服务质量要求的业务的大量出现，与服务质量保证密切相关的呼叫接纳控制问题成了近年来无线网络研究的热点之一。本文研究了基于准马尔可夫决策过程方法的多业务最优呼叫接纳控制问题。根据业务的特点，首先引入了带宽分配满意度函数和收益率函数，在此基础上，提出了基于带宽分配满意度的最优带宽分配算法和基于准马尔可夫决策过程方法的最优呼叫接纳控制策略。计算结果表明，本文方案能够在对各类业务的呼叫阻塞率进行适当权衡的前提下，进一步提高网络的期望收益率和期望带宽利用率，同时满足了各类业务的最低服务质量要求。     

基于单片机控制的无线语音保密通信系统的研究

本文介绍一种基于单片机控制的无线语音保密通信系统，该系统采用一种新的混沌脉冲宽度调制方式，将数字信息隐藏在脉冲的宽度之中，实现语音信号的无线保密通信。对仿真结果、实验波形进行了分析，详细讨论了该通信系统的同步问题。     

无线传感器网络MAC层协议的对比研究

无线传感器网络是二十一世纪新兴的网络技术，它的出现使网络的发展进入一个新的阶段。针对无线传感器网络MAC层协议的研究一直是人们普遍关注的问题。总结了近年来的研究成果并针对TDMA，IEEE802．15．4，S—MAC，T—MAC几种典型的MAC层协议进行了对比分析，根据其各自的优点提出将来工作的方向和建议。     

单小区模型的掉话率分析

掉话率是无线通信网络中最重要的关键性能指标(KPI)之一,本文分析了中国移动在讨论网络性能评估方法时提出的3个不同的掉话率计算公式,通过建立一个单小区的模型,使用一些合理的假设和分析,从理论上确定了一个最为准确的计算公式.     

基于数字CATV的超宽带技术研究

如何利用现有的数字CATV系统开展各种增值业务已成为一个重要课题.首先简要介绍了数字CATV和超宽带技术,然后给出了两种超宽带技术在现有数字CATV系统中的应用方案,利用这些方案可以有效地开展各项增值业务.     

Mobility Influences on the Capacity of Wireless Cellular Networks

Capacity has always been a major concern in wireless networks. This letter studies the impact of mobility on the overall system capacity in wireless cellular networks. In this letter, we present a simple system model which we developed to capture the inherent relationships among system capacity, new call blocking probability, handoff dropping probability, call terminating probability, and bandwidth utilization rate. We investigate the complex relationship between mobility and capacity‐related parameters. Through simulation, we demonstrate that mobility has a significant impact on capacity and is reversely proportional to the bandwidth reserved for handoff traffic.