Special Issue Introduction
Special Issues List
Aims and Scope
Article Processing Charge
Open Access Policy
Digital Preservation Policy
1796-2021 (Online); 2374-4367 (Print)
Prof. Maode Ma
Prof. Jalel Ben-Othman, Prof. Nobuo Funabiki
Prof. Jason Z. Kang
or comments to
, rank Q3 in Category Electrical and Electronic Engineering
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
Volume 17, No. 5 has been published online!
Volume 17, No. 1-3 has been indexed by Scopus.
Volume 17, No. 4 has been published online!
Volume 14, No. 8, August 2019
IoT Technologies for Mobile Crowd Sensing in Smart Cities
Abbas M. Ali Al-muqarm and Furkan Rabee
Computer Science Department, Faculty of Computer Science and Mathematics, University of Kufa, Iraq
—Internet of Things is a sophisticated concept of the Internet, so all things in our lives can be connected to the Internet or to each other to send and receive data to perform specific functions through the network. The Mobile Crowd Sensing (MCS) technology is used by users who use a smartphone as a new direction in the development of the Internet of Things. The volunteers rely on collecting data from the environment by taking advantage of smartphone features such as (camera, temperature, GPS, Microphone, etc.).There are two challenges with MCS are Battery power consumption and the cost of data upload. This paper presented a new framework called Efficient power consumption (EPC - MCS) based on the use of one of the IoT protocols for the limited devices resources such as( power, memory, and processing, etc.) which is the CoAP protocol after comparing its performance with the protocols (MQTT and XMPP) by simulation proved to be power efficient. This framework proposes dividing the MCS area into two areas , Global mobile node, and local mobile node, volunteers in the global area are collecting data by using their smartphone and sending data to the local area, that might be smartphone, computers or other existing devices at home or a health center. If a local nodes uploading the data to a switch, the switch will route the data to the gateway which has two choices: If there is a need to make a quick decision, should be switched to the fog layer, else uploading the data to the cloud via a Wi-Fi or a 3G connection with a piggyback. Thus, yield two advantages are Zero cost for uploading data and less energy consumption. In this paper, we presented an algorithm to route the data between the global nodes and local nodes with fog computing and without. Evaluate the performance of our framework through use cooja emulator show to be effective in efficient power consumption and data uploading, compared to previous articles in the same subject.
—Internet of Things (IoT), Mobile crowd sensing (MCS), smart cities, fog computing, CoAP
Cite: Abbas M. Ali Al-muqarm and Furkan Rabee, "IoT Technologies for Mobile Crowd Sensing in Smart Cities," Journal of Communications, vol. 14, no. 8, pp. 745-757, 2019. Doi: 10.12720/jcm.14.8.745-757
Performance Analysis of Adaptive Fuzzy Spray and Wait Routing Protocol
Copyright © 2013-2022 Journal of Communications, All Rights Reserved