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| 摘要: |
| 提出了一种集基于节点地理位置信息的集成拓扑控制、MAC和路由为一体的高能效数据收集协议REEGF(geographic forwarding protocol with reliable and energy-efficient).REEGF使用了具有双无线信道协作通信结构的网络节点,以利用唤醒信道发送和侦听忙音减少节点的空闲侦听时间.利用无线传感器网络的时间同步算法和依赖于本地节点密度、节点剩余能量的概率同步调度算法,REEGF使处于监测状态的网络节点以概率在每个网络侦听周期同步唤醒,减少冗余节点的空闲 |
| 关键词: 无线传感器网络 高效节能 网络侦听周期 同步唤醒 地理位置 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant No.60572146 (国家自然科学基金); the National Science Fund for Distinguished Young Scholars of China under Grant No.60725105 (国家杰出青年科学基金); the National Basic Research Program of China under |
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| Energy-Efficient Data Gathering Protocol for Multihop Wireless Sensor Networks |
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ZHENG Guo-Qiang, LI Jian-Dong, ZHOU Zhi-Li
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| Abstract: |
| A geographical-aware, integrated topology control, MAC, and routing data delivery protocol, called geographic forwarding protocol with reliable and energy-efficient (REEGF), is proposed to satisfy these requirements for multi-hop WSNs application. In the REEGF protocol, by using a network node with collaborative communications architecture of a dual radio, idle listening time is reduced through sending or listening to a busy tone in a wakeup channel. When adopting time synchronization algorithm of WSNs and probability-based synchronization scheduling algorithm relying on node density and residual energy, network node, in the monitoring state, is awakend synchronistically with a certain probability during any network listening cycle, so idle listening time of redundancy node is reduced and so consistency and stability of the local node’s degree of connectivity can be guaranteed. When network node transitions to a more active transfer state, while adopting the contention among receivers and selecting next-hop relaying node, which is a neighbor node toward the destination SINK with the most advancement based on the geographical location, REEGF protocol can integrate Medium Access Control (MAC), routing and topology management into a single layer, save the resources of each node in WSNs, balance the energy consumption of the nodes throughout the network, and guarantee timeliness of data delivery. The results of the theory analyzing and simulations show that REEGF outperforms GeRaF for monitoring and surveillance applications, in terms of the energy efficiency, delay of average multihop data delivery, and the uniformity of network node’s energy consumption. Accordingly, the network lifetime is prolonged considerably and increased approximately linear with node’s density. |
| Key words: wireless sensor network energy efficiency network cycle listening synchronization awakening geographical location |
