The International Arab Journal of Information Technology (IAJIT)


IOT-Pattern-As-a-Service Model for Delay Sensitive IOT Integrated Applications

Murugan Sivaram,
At present, the Internet of Things (IoT) impacts heavily the daily lives of an individual in many domains, which ranges from wearable devices to industrial systems. Accordingly, these wide ranging IoT applications require application specific frameworks intended to carry out the operations in IoT applications. On other hand, IoT ecosystem evolves on integrating with other environments but the presence of heterogeneous devices in IoT integrated ecosystem groups the capacities in order to match the service requirements of users and to support wide users. Hence, a solution is required to synergize cooperation among the users in IoT integrated environment with great relevance. Along this line, the present work plans to adopt the IoT-Pattern- as-a-Service (IoT-PataaS) model to support Fifth Generation (5G) network environment, since the application is a delay- sensitive one and that should be controlled using high-end IoT devices. The proposed IoT-PataaS aims at provisioning IoT applications with reduced delay that leverages collaboration between the IoT objects in public and private clouds, which is present at the edge of 5G networks. The evaluation of IoT-PataaS model in 5G cellular network is carried out in terms of Narrowband IoT. The results claims that IoT-PataaS model obtains highly significant benefits in Narrowband IoT and LTE-A networks in terms of successfully delivered services in IoT platform.

[1] Akpakwu G., Silva B., Hancke G., and Abu- Mahfouz A., “A Survey on 5G Networks for the Internet of Things: Communication Technologies and Challenges,” IEEE Access, vol. 6, pp. 3619- 3647, 2018.

[2] Ali S., Ansari M., and Alam M., in Internet of Things, Springer, 2020.

[3] Alliance N., “5g White Paper-Executive Version,” White Paper, 2014.

[4] Amin R., Kumar N., Biswas G., Iqbal R., and Chang V., “A Light Weight Authentication Protocol for Iot-Enabled Devices in Distributed Cloud Computing Environment,” Future Generation Computer Systems, vol. 78, pp.1005- 1019, 2018.

[5] Baker T., Asim M., Tawfik H., Aldawsari B., and Buyya R., “An Energy-Aware Service Composition Algorithm for Multiple Cloud-Based Iot Applications,” Journal of Network and Computer Applications, vol. 89, pp. 96-108, 2017.

[6] Biswas T., Kuila P., and Ray A., “Multi-Level Queue for Task Scheduling in Heterogeneous Distributed Computing System,” in Proceedings of 4th International Conference on Advanced Computing and Communication Systems, Coimbatore, pp. 1-6, 2017.

[7] Carofiglio G., Chiasserini C., Garetto M., and Leonardi E., “Route Stability in Manets under The Random Direction Mobility Model,” IEEE Transactions on Mobile Computing, vol. 8, no. 9, pp.1167-1179, 2009.

[8] Celesti A., Lay-Ekuakille A., Wan J., Fazio M., Celesti F., Romano A., Bramanti P., and Villari M., “Minformation Management In Iot Cloud-Based Tele-Rehabilitation As A Service For Smart Cities: Comparison of Nosql Approaches,” Measurement, vol. 151, 2020.

[9] Davies R., “5G Network Technology: Putting Europe at the Leading Edge. EPRS, European Parliamentary Research Service,” Members' Research Service, pp. 1-9, 2016.

[10] Deebak B., Al-Turjman F., Aloqaily M., and Alfandi O., “IoT-BSFCAN: A Smart Context- Aware System in Iot-Cloud Using Mobile- Fogging,” Future Generation Computer Systems, vol. 109, pp. 368-381, 2020.

[11] Farahani B., Barzegari M., Aliee F., and Shaik K., “Towards Collaborative Intelligent Iot Ehealth: from Device to Fog, and Cloud,” Microprocessors and Microsystems, vol. 72, 2020.

[12] Gubbi J., Buyya R., Marusic S., and Palaniswami M., “Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645-1660, 2013.

[13] Hasan R., Hossain M., and Khan R., “Aura: An Incentive-Driven Ad-Hoc Iot Cloud Framework for Proximal Mobile Computation Offloading,” Future Generation Computer Systems, vol. 86, pp. 821-835, 2017.

[14] Houhamdi Z. and Athamena B., “Identity Identification and Management in the Internet of Things,” The International Arab Journal of Information Technology, vol. 17, no. 4A, pp. 645- 654, 2020.

[15] Kumar P., Saranya P., and Bindra K., “Enhancement of Navigation Technology Using Augmented Reality,” Journal of Physics: Conference Series, vol. 1362, no. 1, pp. 012102, 2019.

[16] Lauridsen M., Kovács I., Mogensen P., Sorensen M. and Holst S., “Coverage and Capacity Analysis of LTE-M and NB-Iot in A Rural Area,” in Proceedings of IEEE 84th Vehicular Technology Conference, Montreal, pp. 1-5, 2016.

[17] Li Y., Orgerie A., Rodero I., Amersho B., Parashar M., and Menaud J., “End-To-End Energy Models for Edge Cloud-Based Iot Platforms: Application To Data Stream Analysis in IoT,” Future Generation Computer Systems, vol. 87, pp. 667-678, 2017.

[18] Liu E. and Temlyakov V., “The Orthogonal Super Greedy Algorithm and Applications in Compressed Sensing,” IEEE Transactions on Information Theory, vol. 58, no. 4, pp. 2040- 2047, 2012.

[19] Osseiran A., Sachs J., and Puleri M., “Manufacturing Reengineered: Robots, 5G and the Industrial Iot,” Ericsson Business Review, no. 4, 2015.

[20] Qiu C., Wang X., Yao H., Du J., Yu F., and Guo S., “Networking Integrated Cloud-Edge-End in IoT: A Blockchain-Assisted Collective Q- Learning Approach,” IEEE Internet of Things Journal, pp. 1-1, 2020.

[21] Rhee I., Shin M., Hong S., Lee K., Kim S., and Chong S., “On the Levy-Walk Nature of Human Mobility,” IEEE/ACM Transactions on Networking, vol. 19, no. 3, pp. 630-643, 2011.

[22] Sobhanayak S., Jaiswal K., Turuk A., Sahoo B., Mohanta B., and Jena D., “Container-Based Task Scheduling for Edge Computing in Iot-Cloud Environment Using Improved HBF Optimisation Algorithm,” International Journal of Embedded Systems, vol. 13, no. 1, pp. 85-100, 2020.

[23] Thakare A., Lee E., Kumar A., Nikam V., and Kim Y., “PARBAC: Priority-Attribute-Based RBAC Model for Azure Iot Cloud,” IEEE Internet of Things Journal, vol. 7, no. 4, pp. 2890- 2900, 2020. 540 The International Arab Journal of Information Technology, Vol. 18, No. 4, July 2021

[24] Wang X. and Cai S., “An Efficient Named-Data- Networking-Based IoT Cloud Framework,” IEEE Internet of Things Journal, vol. 7, no. 4, pp. 3453- 3461, 2020.

[25] Wu H., Yue K., Hsu C., Zhao Y., Zhang B., and Zhang G., “Deviation-Based Neighborhood Model for Context-Aware Qos Prediction of Cloud and Iot Services,” Future Generation Computer Systems, vol. 76, pp. 550-560, 2017.

[26] Wu Q., He K., and Chen X., “Personalized Federated Learning for Intelligent Iot Applications: A Cloud-Edge Based Framework,” IEEE Computer Graphics and Applications, vol. 1, pp. 35-44, 2020.

[27] Xiong S., Ni Q., Wang L., and Wang Q.,“SEM- ACSIT: Secure and Efficient Multiauthority Access Control for IoT Cloud Storage,” IEEE Internet of Things Journal, vol. 7, no. 4, pp. 2914- 2927, 2020. Murugan Sivaram completed his B.E (CSE) at Madurai Kamaraj University, Madurai in 2002. He has awarded M.Tech (CSE) degree from NIT,Trichy, Tamilnadu in 2007. He Completed Phd degree in Information and Communication Engineering from Anna university, Chennai in 2014. He has nearly 18 years of experience in Teaching both UG and PG program. He is presently working as a Professor in Department of Information Technology in Lebanese French University, Erbil. His field of interest are Data Mining, Image retrieval, Information retrieval, Data fusion, Image Processing and Artificial intelligence. He has published more than 25 papers in international, National journals and conference.