作者
Ahmed Alagha
发表日期
2019
机构
Khalifa University
简介
Thesis, M. Sc. In Electrical and Computer Engineering, Department of Electrical and Computer Engineering, Khalifa University of Science and Technology, United Arab Emirates, May 2019.
The Internet of Things (IoT) plays a significant role in realizing the concept of smart environments, such as in environmental, infrastructural, industrial, disaster, or threat monitoring. Several IoT sensing nodes can be deployed within an area to collect regional information for the purpose of achieving a common contextual goal. Mobile Crowd Sensing (MCS) is a subset and a critical component of IoT, where nodes are mobile people carrying smart phones equipped with sensors. For both IoT and MCS systems, an influential aspect that affects their performances is the selection of the set of active nodes to perform a certain task. Selection proves useful in mitigating common IoT-related issues like resource allocation, network lifetime, and the confidence in the collected data, by having the right set of nodes active at a given time.