返回
An Energy-Efficient Inter-organizational Wireless Sensor Data Collection Framework
DOI:10.1109/ICWS.2015.90.png)
摘要
En 中文
Internet of Things (IoT) represents a cyber-physical world where physical things are interconnected on the Web. This paper presents an architecture designed for Energy-efficient Inter-organizational wireless sensor data collection Framework (EnIF). Environmental monitoring and urban sensing are two major application scenarios in IoT. Different from the traditional sensor environments, environmental sensing in IoT may require battery-powered nodes to perform the sensing tasks. Such a requirement raises a critical challenge to ensure that sensor data gathering can be collected in a timely and energy-efficient manner. Although numerous energy-efficient approaches for IoT scenarios have been proposed, previous works assumed the entire network was managed by a single organization in which the network establishment and communication have been pre-configured. This assumption is inconsistent with the fact that IoT is established in a federated network with heterogeneous devices controlled by different organizations. The aim of the framework is to enable a dynamic inter-organizational collaborative topology towards saving energy from data transmissions using a service-oriented architecture.
Keyword:
Internet of Things
Wireless Sensor Network
SOA
inter-organizational
collaborative
energy saving
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
0
论文数:
9
被引数:
0
机构
引用论文
A Survey on Distributed Topology Control Techniques for Extending the Lifetime of Battery Powered Wireless Sensor Networks延长电池供电无线传感器网络寿命的分布式拓扑控制技术综述
High channel count single-unit recordings from nonhuman primate frontal cortex来自非人类灵长类动物额叶皮层的高通道计数单单元记录

