IoT Smart Home Ecosystem based on Multiprotocol Label Switching

Volume 4, Issue 6, December 2019     |     PP. 156-188      |     PDF (1269 K)    |     Pub. Date: December 19, 2019
DOI:    218 Downloads     6184 Views  

Author(s)

Hamza ZEMRANE, Mohammadia School of Engineering, UM5, Lab RIME Rabat, Morocco
Youssef BADDI, Higher school of technology Sidi Bennour UCD, Lab STIC El Jadida, Morocco
Abderrahim HASBI, Mohammadia School of Engineering UM5, Lab RIME Ratab, Morocco

Abstract
The development of Smart Cities that know our word today depends on the development of the IoT, in this context IoT are applied to develop and optimize may current and future sectors of activities like: health care, home automation, transportation, public services and others. The major issues of safety and comfort in traditional homes pushed us to detail and develop our own IoT Smart Home Ecosystem. Inside the home no one is safe from a fall, a cut, a poisoning, a burn, or a fire, as an example children are unfortunately the first victims of domestic accidents. The Smart Home can limit risks by integrating: smoke detectors, carbon monoxide detectors, alarms to trigger oneself when needed (PMR, for people with reduced mobility), motion detectors with alarm connected to the smartphones of your family member, remote surveillance cameras (for children and dependent persons). Equipped with many sensors and actuators, the Smart Home can identify any potentially dangerous malfunction. The network architecture of IoT offers us a large number of network technologies to connect all the sensors and actuators to each other, and to transfer the collected information to the Internet, to choose the most suitable solution to use in our IoT Smart Home Ecosystem we did a study of the existing network solutions to go out with the WiFi network as a wireless solution and the Ethernet network as a wired solution. To allow access at the collected information to the right server located in the Internet with a quality of service grantee we were based on the MPLS network as a resent core Internetwork technology used by the operators.

Keywords
Smart home, Internet of Things (IoT), IoT protocols, extended networks operators, Multiprotocol Label Switching (MPLS), Smart Cities.

Cite this paper
Hamza ZEMRANE, Youssef BADDI, Abderrahim HASBI, IoT Smart Home Ecosystem based on Multiprotocol Label Switching , SCIREA Journal of Mathematics. Volume 4, Issue 6, December 2019 | PP. 156-188.

References

[ 1 ] BHUSHAN, Bharat et SAHOO, G. Routing Protocols in Wireless Sensor Networks. In : Computational Intelligence in Sensor Networks. Springer, Berlin, Heidelberg, 2019. p. 215-248.
[ 2 ] ZUMSTEG, Philip et QU, Huyu. Reading RFID tags in defined spatial locations. U.S. Patent Application No 10/248,817, 2 avr. 2019.
[ 3 ] BRADFIELD, Kelvin et ALLEN, Chris. User Perceptions of and Needs for Smart Home Technology in South Africa. In : Advances in Informatics and Computing in Civil and Construction Engineering. Springer, Cham, 2019. p. 255-262.
[ 4 ] DARROUDI, Seyed Mahdi, CALDERA-SA` NCHEZ, Rau¨l, et GOMEZ, Carles. Bluetooth Mesh Energy Consumption: A Model. Sensors, 2019, vol. 19, no 5, p. 1238.
[ 5 ] BASFORD, Philip J., JOHNSTON, Steven, APETROAIE-CRISTEA, Mihaela, et al. LoRaWAN for city scale IoT deployments. 2019.
[ 6 ] NAIK, Sulochan et D’SOUZA, Meenakshi. Efficient Power Saving Method for WiFi Direct Devices in IoT based on Hidden Markov Model. In : 2019 11th International Conference on Communication Systems Networks (COMSNETS). IEEE, 2019. p. 565-567.
[ 7 ] CHANG, Hong-Yi. A connectivity-increasing mechanism of ZigBee- based IoT devices for wireless multimedia sensor networks. Multimedia Tools and Applications, 2019, vol. 78, no 5, p. 5137-5154.
[ 8 ] MEKKI, Kais, BAJIC, Eddy, CHAXEL, Frederic, et al. A comparative study of LPWAN technologies for large-scale IoT deployment. ICT Express, 2019, vol. 5, no 1, p. 1-7.
[ 9 ] ZEMRANE, Hamza, BADDI, Youssef, et HASBI, Abderrahim. SDN- Based Solutions to Improve IOT: Survey. In : 2018 IEEE 5th International Congress on Information Science and Technology (CiSt). IEEE, 2018. p. 588-593.
[ 10 ] Zhang, Y., Sun, L., Song, H., et al. Ubiquitous WSN for healthcare: recent advances and future prospects. IEEE Internet Things J. 1(4), pp. 311–318 (2014)
[ 11 ] HUANG, Junqin, KONG, Linghe, CHEN, Guihai, et al. Towards Secure Industrial IoT: Blockchain System with Credit-Based Consensus Mecha- nism. IEEE Transactions on Industrial Informatics, 2019.
[ 12 ] ZEMRANE, Hamza, ABBOU, Aiman Nait, BADDI, Youssef, et al. Wireless Sensor Networks as part of IOT: Performance study of WiMax- Mobil protocol. In : 2018 4th International Conference on Cloud Com- puting Technologies and Applications (Cloudtech). IEEE, 2018. p. 1-8.
[ 13 ] ZEMRANE, Hamza, BADDI, Youssef, et HASBI, Abderrahim. Internet of Things Smart Home Ecosystem. In : Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks. Springer, Cham, 2020. p. 101-125.
[ 14 ] WILSON, Mark W. Cooking appliance control of residential heating, ventilation and/or air conditioning (hvac) system. U.S. Patent Application No 15/637,916, 3 janv. 2019.
[ 15 ] ZEMRANE, Hamza, BADDI, Youssef, et HASBI, Abderrahim. Ehealth smart application of WSN on WWAN. In : Proceedings of the 2nd International Conference on Networking, Information Systems Security. ACM, 2019. p. 26.
[ 16 ] RODGER, Sean, RODGER, Erwin, KOCH, Rob, et al. Actuator position sensing. U.S. Patent Application No 10/222,233, 5 mars 2019.
[ 17 ] CHEW, Daniel. Protocols of the Wireless Internet of Things. 2019.
[ 18 ] DAI, Feng, REBER, Daniel, et EMERY, Jean-Christophe. Analog sensor with digital compensation function. U.S. Patent Application No 10/215,617, 26 fe´vr. 2019.
[ 19 ] CRAWLEY, Martin, SMITH, Michael G., GROSS, Irwin, et al. Ap- paratus having a digital infrared sensor. U.S. Patent Application No 16/127,182, 3 janv. 2019.
[ 20 ] STEWART, David A. Sensor logic control of gun camera. U.S. Patent Application No 16/193,458, 16 mai 2019.
[ 21 ] LAPUT, Gierad et HARRISON, Chris. SurfaceSight: A New Spin on Touch, User, and Object Sensing for IoT Experiences. In : Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems. ACM, 2019. p. 329.
[ 22 ] KANG, Seungjin, BAEK, Hyunyoung, JUNG, Eunja, et al. Survey on the demand for adoption of Internet of Things (IoT)-based services in hospitals: Investigation of nurses’ perception in a tertiary university hospital. Applied Nursing Research, 2019.
[ 23 ] MILLER, Joshua E., READ, Jon, OLIVERAS, Ovidio M., et al. Cu- mulative distribution of ballistic impact failures of common twisted-pair data cables at orbital speeds. International Journal of Impact Engineering, 2019, vol. 124, p. 61-66.
[ 24 ] D´IAZ, Camilo AR, LEITA˜ O, Ca´tia, MARQUES, Carlos A., et al. IoToF: A Long-Reach Fully Passive Low-Rate Upstream PHY for IoT over Fiber. Electronics, 2019, vol. 8, no 3, p. 359.
[ 25 ] YIN, Junjie, YANG, Zheng, CAO, Hao, et al. A Survey on Bluetooth 5.0 and Mesh: New Milestones of IoT. ACM Transactions on Sensor Networks (TOSN), 2019, vol. 15, no 3, p. 28.
[ 26 ] INVIDIA, Lorenzo, OLIVA, Silvio Lucio, PALMIERI, Andrea, et al. An IoT-oriented Fast Prototyping Platform for BLE-based Star Topology Networks. Journal of Communications Software and Systems, 2019, vol. 15, no 2.
[ 27 ] HUANG, Xina, ZHANG, Sheng, HU, Quandong, et al. Coupling Effect of Unit Cell Topology and Forming Orientation on the Ti6Al4V Porous Structures Fabricated Using Selective Laser Melting. Advanced Engineer- ing Materials, 2019, vol. 21, no 2, p. 1800737.
[ 28 ] LIU, Sicong, XIAO, Liang, HAN, Zhu, et al. Eliminating NB-IoT Interference to LTE System: a Sparse Machine Learning Based Approach. IEEE Internet of Things Journal, 2019.
[ 29 ] FROYTLOG, Anders, FOSS, Thomas, BAKKER, Ole, et al. Ultra-Low Power Wake-up Radio for 5G IoT. IEEE Communications Magazine, 2019.
[ 30 ] SAIRAM, Kanduri, SINGH, Chandra, VAMSI, P. Sai, et al. Broadband Services Implementation by Using Survivable ATM Architecture. Avail- able at SSRN 3355302, 2019.
[ 31 ] KURNIATI, Kurniati et DASMEN, Rahmat Novrianda. The Simulation of Access Control List (ACLs) Network Security for Frame Relay Net- work at PT. KAI Palembang. Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, 2019, p. 49-61.
[ 32 ] LI, Qi, YUAN, Yitong, et YUAN, Jin. Research on the Construction of the Old Age Institutions in Shanxi Province Based on PPP Model. 2019.
[ 33 ] CHUNDURI, Uma S., TANTSURA, Evgeny, et AMMIREDDY, Amar- nath. Ospf extensions for flexible path stitchng and selection for traffic transiting segment routing and mpls networks. U.S. Patent Application No 16/077,837, 21 fe´vr. 2019.
[ 34 ] BASHANDY, Ahmed R., FILSFILS, Clarence, et WARD, David D. Segment routing over label distribution protocol. U.S. Patent Application No 10/270,664, 23 avr. 2019.
[ 35 ] PANDEY, Bishwajeet, FARULLA, Giuseppe Airo, INDACO, Marco, et al. Design and Review of Water Management System Using Ethernet, Wi-Fi 802.11 n, Modbus, and Other Communication Standards. Wireless Personal Communications, 2019, vol. 106, no 4, p. 1677-1699.
[ 36 ] KAUR, Kiranpreet et SHARMA, Anil. Interoperability Among Internet of Things (IoT) Components Using Model-Driven Architecture Approach. In : Information and Communication Technology for Competitive Strate- gies. Springer, Singapore, 2019. p. 519-534.
[ 37 ] DA CRUZ, Mauro AA, RODRIGUES, Joel JPC, LORENZ, Pascal, et al. A proposal for bridging application layer protocols to HTTP on IoT solutions. Future Generation Computer Systems, 2019, vol. 97, p. 145- 152.
[ 38 ] KUMAR, Vinay, MOHAN, Sujay, et KUMAR, Rakesh. A Voice Based One Step Solution for Bulk IoT Device Onboarding. In : 2019 16th IEEE Annual Consumer Communications Networking Conference (CCNC). IEEE, 2019. p. 1-6.