Anas M. Mzahm
ABSTRACT
The Internet of Things (IoT) is poised to augment the Internet by enabling machine to machine (M2M) communication. However, the machines, or 'things' lack of self-reasoning capability limits their potential applications in other value-added services. Consequently, we introduce the concept of Agents of Things (AoT) as an extension to the IoT, in which the things are embedded with self-reasoning intelligent software agents to provide value-added services to humans. Two crucial issues in designing intelligent things are to determine what value-added services they should offer and the subsequent level of reasoning abilities for the things. Therefore, we need to find an optimal match between the hardware capabilities of the things and their software agents' reasoning abilities to deliver value-added services on top of performing their basic IoT functions. In this paper, we present the results of the software analyses represented by a software spectrum and the hardware analyses represented by a hardware spectrum. We then associate the two spectrums to form a structured hardware-software optimizer for the thing's design model.
- Zaslavsky, A. and Georgakopoulos, D., 2015. Internet of Things: Challenges and State-of-the-Art Solutions in Internet-Scale Sensor Information Management and Mobile Analytics. In Mobile Data Management (MDM), 2015 16th IEEE International Conference on IEEE, 3--6. Google Scholar
Digital Library
- Glass, R., 2015. The Impact of Disruptive Technology: The Internet of Things.Google Scholar
- Jermyn, J., Jover, R.P., Murynets, I., Istomin, M., and Stolfo, S., 2015. Scalability of Machine to Machine systems and the Internet of Things on LTE mobile networks. In World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2015 IEEE 16th International Symposium on a IEEE, 1--9.Google Scholar
- Tan, L. and Wang, N., 2010. Future internet: The internet of things. Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on 5, V5-376-V375-380.Google Scholar
- Mzahm, A.M., Ahmad, M.S., and Tang, A.Y., 2013. Agents of Things (AoT): An intelligent operational concept of the Internet of Things (IoT). In Proceedings of the Intelligent Systems Design and Applications (ISDA), 2013 13th International Conference on (2013), IEEE, 159--164.Google Scholar
- Mzahm, A.M., Ahmad, M.S., and Tang, A.Y., 2014. Computing hardware analysis for Agents of Things (AoT) applications. In Proceedings of the Information Technology and Multimedia (ICIMU), 2014 International Conference on (2014), IEEE, 223--228.Google Scholar
- Mzahm, A.M., Ahmad, M.S., Tang, A.Y., and Ahmad, A., 2015. Software Analysis for Agents of Things (AoT) Applications. International Symposium on Agents, Multi-Agent Systems and Robotics (ISAMSR 2015).Google Scholar
- Tabbara, B., Tabbara, A., and Sangiovanni-Vincentelli, A., 2000. Hardware and software representation, optimization, and co-synthesis for embedded systems. S2.Google Scholar
- Tang, J.W., Hau, Y.W., and Marsono, M., 2015. Hardware/software partitioning of embedded System-on-Chip applications. In Very Large Scale Integration (VLSI-SoC), 2015 IFIP/IEEE International Conference on IEEE, 331--336.Google Scholar
- Kolasa, M. and Dlugosz, R., 2015. An advanced software model for optimization of self-organizing neural networks oriented on implementation in hardware. In Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference IEEE, 266--271.Google Scholar
- Lysecky, R. and Vahid, F., 2004. A configurable logic architecture for dynamic hardware/software partitioning. In Design, Automation and Test in Europe Conference and Exhibition, 2004. Proceedings IEEE, 480--485. Google ScholarDigital Library
- Ciabattoni, L., Cimini, G., Ferracuti, F., and Ippoliti, G., 2015. Humidex based multi room thermal comfort regulation via fuzzy logic. In Consumer Electronics (ISCE), 2015 IEEE International Symposium on IEEE, 1--2.Google Scholar
- Berry, D.M., 2011. The Philosophy of Software: Code and Mediation in the Digital Age. Google ScholarDigital Library
- Cao, X.-M., 2015. The Research on Wireless Sensor Network for Mechanical Vibration Monitoring. In 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering Atlantis Press.Google Scholar
- Tancreti, M., Sundaram, V., Bagchi, S., and Eugster, P., 2015. TARDIS: software-only system-level record and replay in wireless sensor networks. In Proceedings of the 14th International Conference on Information Processing in Sensor Networks ACM, 286--297. Google ScholarDigital Library
- Kim, K. and Myung, H., 2015. Sensor Node for Remote Monitoring of Waterborne Disease-Causing Bacteria. Sensors 15, 5, 10569--10579.Google ScholarCross Ref
- Deshmukh, A.R., Sonawane, R.R., Shedwad, A.S., Humane, P.D., and Satao, R., 2015. Fast Detection of Replica Node in Mobile Sensor Network.Google Scholar
- Gao, L., Yin, H., Wei, Y., and Wang, L., 2015. Data Collection Methods Based on Mobile Sink Node. In 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics Atlantis Press.Google Scholar
- Dennis, A.K., 2013. Raspberry Pi Home Automation with Arduino. Packt Publishing. Google ScholarDigital Library
- Agrawal, N. and Singhal, S., 2015. Smart drip irrigation system using raspberry pi and arduino. In Computing, Communication & Automation (ICCCA), 2015 International Conference on IEEE, 928--932.Google Scholar
- Cook, M., Craft, B., Evans, J., and Shaw, A., 2015. Raspberry Pi Projects For Dummies. John Wiley & Sons.Google Scholar
- Teja, P., Kushal, V., and Srinivasan, K., 2015. Photosensitive security system for theft detection and control using GSM technology. In Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on IEEE, 122--125.Google Scholar
- Propp, K., Fotouhi, A., and Auger, D.J., 2015. Low-cost programmable battery dischargers and application in battery model identification. In Computer Science and Electronic Engineering Conference (CEEC), 2015 7th IEEE, 225--230.Google Scholar
- Shelly, G.B. and Vermaat, M.E., 2010. Discovering Computers-Fundamentals 2011 Edition. Google ScholarDigital Library
Recommendations
The internet of things: a survey
In recent year, the Internet of Things (IoT) has drawn significant research attention. IoT is considered as a part of the Internet of the future and will comprise billions of intelligent communicating `things'. The future of the Internet will consist of ...
Internet of things security: challenges and perspectives
ICC '17: Proceedings of the Second International Conference on Internet of things, Data and Cloud ComputingNo one can deny that the Internet of Things (IOT) will revolutionize our daily thanks to its many benefits in order to improve and simplify people's lives. Us any new technology the internet of things has a number of problems that prevents it to reach ...
Comments