International Journal of Advanced Technology and Engineering Exploration (IJATEE) ISSN (P): 2394-5443 ISSN (O): 2394-7454 Vol - 6, Issue - 61, December 2019
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An efficient framework for the automatic and dynamic load distribution in IOT

Vijaita Kashyap and Dimple Kapoor

Abstract

The current era is observing the need of communication among different smart devices in the collaboration of Internet of Things (IoT). Smart device integration along with the load distribution is capable in controlling energy resources with the cost benefits. So, in this paper an efficient framework for the automatic and dynamic load distribution in IOT with smart grids mechanism has been presented. Our efficient dynamic load balancing framework has three phases. First shows the pre-processing, second phase shows the IoT distribution and communication procedure. Final phase is the object interconnection phase with grids. For the evaluation of our framework scaling mechanism has been adopted for testing of load clusters. The results indicate that it is capable in energy resource saving as it found to be uniform.

Keyword

IoT, Data mining, Big data, Cloud computing, Computation capability.

Cite this article

Kashyap V, Kapoor D

Refference

[1][1]Tyson G, Sastry N, Rimac I, Cuevas R, Mauthe A. A survey of mobility in information-centric networks: challenges and research directions. In proceedings of the ACM workshop on emerging name-oriented mobile networking design-architecture, algorithms, and applications 2012 (pp. 1-6). ACM.

[2][2]Johnson S, Fayaz MA, Krishnan HS. IoT based rear-end collision avoidance system in highways. International Journal of Advanced Computer Research. 2019; 9(45):379-85.

[3][3]Arshad S, Azam MA, Rehmani MH, Loo J. Recent advances in information-centric networking-based internet of things (ICN-IoT). IEEE Internet of Things Journal. 2018; 6(2):2128-58.

[4][4]Jin Y, Gormus S, Kulkarni P, Sooriyabandara M. Content centric routing in IoT networks and its integration in RPL. Computer Communications. 2016; 89:87-104.

[5][5]Patel P, Patel HB, Shrimali B. Data delivery techniques in content centric routing for IoT: a systematic review. International Journal of Advanced Technology and Engineering Exploration. 2018; 5(48):445-51.

[6][6]Dubey AK. An efficient fuzzy C-Means method with variable FV-TC for Data sensitivity calculation in a cloud computing environment. International Journal of Engineering and Advanced Technology.2019; 9(1):4486-90.

[7][7]Mishra A, Mohapatro M. An IoT framework for bio-medical sensor data acquisition and machine learning for early detection. International Journal of Advanced Technology and Engineering Exploration.2019; 6(54):112-25.

[8][8]Dubey AK, Dubey AK, Agarwal V, Khandagre Y. Knowledge discovery with a subset-superset approach for mining heterogeneous data with dynamic support. In CSI sixth international conference on software engineering 2012 (pp. 1-6). IEEE.

[9][9]https://www.telit.com/blog/iot-smart-grid-benefits/ . Accessed 12 July 2019.

[10][10]Saleem Y, Crespi N, Rehmani MH, Copeland R. Internet of things-aided smart grid: technologies, architectures, applications, prototypes, and future research directions. IEEE Access. 2019; 7:62962-3003.

[11][11]Ghasempour A. Internet of things in smart grid: architecture, applications, services, key technologies, and challenges. Inventions. 2019; 4(1):1-12.

[12][12]Ahmed HI, Nasr AA, Abdel-Mageid S, Aslan HK. A survey of IoT security threats and defenses. International Journal of Advanced Computer Research. 2019; 9(45):325-50.

[13][13]Tsai CW, Lai CF, Vasilakos AV. Future internet of things: open issues and challenges. Wireless Networks. 2014; 20(8):2201-17.

[14][14]Barros E, Peixoto M, Leite D, Batista B, Kuehne B. A fog model for dynamic load flow analysis in smart grids. In symposium on computers and communications 2018 (pp. 1-6). IEEE.

[15][15]Fan Q, Ansari N. Towards traffic load balancing in drone-assisted communications for IoT. IEEE Internet of Things Journal. 2018; 6(2):3633-40.

[16][16]Wang Z, Qin X, Liu B. An energy-efficient clustering routing algorithm for WSN-assisted IoT. In wireless communications and networking conference 2018 (pp. 1-6). IEEE.

[17][17]Hribar J, DaSilva L. Utilising correlated information to improve the sustainability of internet of things devices. In world forum on internet of things (WF-IoT) 2019 (pp. 805-8). IEEE.

[18][18]Mostafa B. Monitoring internet of things networks. In world forum on internet of things 2019 (pp. 295-8). IEEE.

[19][19]Muhammad A, Afzal B, Imran B, Tanwir A, Akbar AH, Shah G. OneM2M architecture based secure MQTT binding in Mbed OS. In European symposium on security and privacy workshops 2019 (pp. 48-56). IEEE.

[20][20]Munsadwala Y, Joshi P, Patel P, Rana K. Identification and visualization of hazardous gases using IoT. In international conference on internet of things: smart innovation and usages 2019 (pp. 1-6). IEEE.

[21][21]Poulter AJ, Johnston SJ, Cox SJ. PySRUP–simplifying secure communications for command & control in the internet of things. In world forum on internet of things 2019 (pp. 273-7). IEEE.

[22][22]Alhazmi OH, Aloufi KS. Fog-based internet of things: a security scheme. In international conference on computer applications & information security 2019 (pp. 1-6). IEEE.