Publication Type : Journal Article
Publisher : Springer Science and Business Media LLC
Source : Wireless Personal Communications
Url : https://doi.org/10.1007/s11277-017-4759-1
Campus : Coimbatore
School : School of Artificial Intelligence - Coimbatore
Year : 2017
Abstract : The future of communication involves ‘things’ in addition to people thus bringing about the term Internet of Things. When social networking concepts are incorporated into Internet of Things, it is called Social Internet of Things. Searching for a desired services may lead to high computational and memory demands as the number of friends of any node starts to grow over time. Hence, it is required to judiciously prune the friends of a node by applying some strategy in order to reduce computational load and at the same time preserving network navigability. In this paper, four new heuristics for efficient selection of friends are proposed. An analysis is performed based on various metrics and the results are presented.
Cite this Research Publication : Thangarajan Ramasamy, Archudha Arjunasamy, Advanced Heuristics for Selecting Friends in Social Internet of Things, Wireless Personal Communications, Springer Science and Business Media LLC, 2017, https://doi.org/10.1007/s11277-017-4759-1