DocumentCode
149619
Title
CCT: Connect and Control Things: A novel mobile application to manage M2M devices and endpoints
Author
Datta, Soumya Kanti ; Bonnet, C. ; Nikaein, Navid
Author_Institution
Mobile Commun. Dept., EURECOM, Biot, France
fYear
2014
fDate
21-24 April 2014
Firstpage
1
Lastpage
6
Abstract
This paper presents a novel application that allows mobile clients to interact with M2M devices and endpoints in real time. The application "Connect and Control Things" (CCT) is designed to discover things, receive data from the sensors, control the actuators and generate alarms in real time. The novel capabilities of CCT are: (i) dynamic discovery of device and endpoint, (ii) real time interaction with sensors and actuators associated to M2M devices, (iii) benefit from Sensor Markup Language (SenML) representation, (iv) supporting extension of SenML capabilities for actuators and (v) learning actuators\´ resources and control them. The architectural design, prototypes implementation, flow of network operations and a real-life test scenario are illustrated. The prototype Android application registers higher CPU usage and power consumption due to intense network operations and parsing sensor metadata repeatedly. We have proposed several optimization techniques to reduce the CPU load, network data usage and overall power consumption. Two use cases of the application have been discussed. Finally the paper summarizes the contributions and concludes with the future research directions.
Keywords
Android (operating system); Internet of Things; internetworking; mobile computing; Android application; CCT; Internet of Things ecosystem; M2M devices; M2M gateway; SenML representation; dynamic discovery; mobile application; parsing sensor metadata; sensor markup language representation; Actuators; Androids; Humanoid robots; Logic gates; Mobile communication; Power demand; Temperature sensors; Android; Dynamic Discovery; M2M Device and Endpoint; M2M Gateway; Mobile Application; SenML;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4799-2842-2
Type
conf
DOI
10.1109/ISSNIP.2014.6827627
Filename
6827627
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