摘要
无线传感器网络(Wireless Sensor Network,WSN)所需能源往往利用太阳能提供,通常将太阳能储存在电池或电容器中,在夜间没有太阳能时使用。无线传感器网络中每个微小节点的使用寿命取决于储能设备的剩余能量,而剩余能量随着获取环境能量和消耗能量动态改变。该研究剩余能量感知和预测传感器节点正常工作所需能量,如果节点收集能量多余剩余能量,则感知能量数据与其他节点数据聚合压缩并传输。否则,节点会继续感知数据,但会关闭无线通信以降低能耗。通过仿真比较该方案减少了因能量不足而被迫断电的节点数量,以便更多的数据到达汇聚节点。
A node in a solar wireless sensor network(WSN)collects energy when the sun shines and stores it in a battery or capacitor for use at night when there is no solar energy.Each tiny node in a wireless sensor network periodically determines its ener⁃gy budget,which takes into account its remaining energy as well as its possible acquisition and consumption.If it wants more energy than it can store,the data it senses is aggregated with data from other nodes,compressed and transmitted.Otherwise,the nodes con⁃tinue to sense the data,but turn off wireless communication to reduce power consumption.Through simulation comparison,the scheme reduces the number of nodes forced to power off due to insufficient energy,so that more data can reach the sink node.
作者
张华南
刘勇奎
金红
王峰
ZHANG Huanan;LIU Yongkui;JIN Hong;WANG Feng(School of Data and Computer Science,Guangdong Peizheng College,Guangzhou 510830;School of Computer Science and Information Engineering,Hubei University,Wuhan 430062;School of Computer Engineering,Hubei University of Arts and Science,Xiangyang 441053)
出处
《计算机与数字工程》
2023年第1期28-33,73,共7页
Computer & Digital Engineering
基金
国家自然科学基金项目(编号:61876031)
湖北省自然科学基金项目(编号:2018CFB162)
广东省普通高校特色创新类项目(编号:2019KTSCX250)
广东培正学院校级重点科研项目(编号:23PZXJZD004)资助
关键词
无线传感器网络
能量采集
太阳能
聚合
压缩
wireless sensor networks
energy acquisition
solar energy
polymerization
compression