Publication Type : Book Chapter
Publisher : Springer
Source : In Business Intelligence for Enterprise Internet of Things (pp. 151-168). Springer, Cham.
Url : https://link.springer.com/chapter/10.1007/978-3-030-44407-5_8
Campus : Chennai
School : School of Engineering
Department : Computer Science and Engineering
Year : 2020
Abstract : This chapter rolls on about the infrastructure capabilities of Internet of Things in managing the huge amount of big data and the future research context in developing a dynamic environment where IoT devices can connect and manage their resources on their own. New services are needed to progress the performance and service quality provided by the old services. Self-adaptation is essential for the IoT devices in a dynamic environment. These devices could publish/subscribe/notify/search/retrieve the data autonomously in a dynamic environment. In opportunistic networks, mobile collaboration could be utilized in case of direct communication failure and in cases of handling large data. These networks are mainly used during short-range communication when nodes are closer to each other. During communication, the routes are constructed dynamically according to the availability of the nodes learned based on machine learning algorithms. Data distribution is made on the basis of publishing/subscribing method. For continuous connectivity of devices in wired and wireless links, standard communication protocols are essential to manage the high traffic in the network as well. Added to it, new solutions are required for efficient storage, fetching, and searching of data in these complex environments.
Cite this Research Publication : Sountharrajan, S., Suganya, E., Karthiga, M., Nandhini, S.S., Vishnupriya, B. and Sathiskumar, B., 2020. On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machine Learning Algorithms. In Business Intelligence for Enterprise Internet of Things (pp. 151-168). Springer, Cham.