Title: ASD: emotions and behavioural-based interventions through social sensor networks

Authors: Uwizeyimana Faustin; A. Kovalan; Rajkumar Kannan

Addresses: School of Computer Sciences and Application, Periyar Maniyammai University, Thanjavur, India ' Department of Software Engineering, Periyar Maniyammai University, Thanjavur, India ' Department of Information Systems, College of Computer Sciences and IT, King Faisal University, Saudi Arabia

Abstract: In India, nowadays one per 88 children is born with autism spectrum disorder (ASD) contrary to a ratio of one per 110 children few years back. In this paper, we propose a social sensor network for individuals with ASD to offer medical promotions as intervention and first aid. They should be in care and medical surveillances. We are monitoring enjoyment, frustration, boredom, and stress by using body-worn sensors and video streaming. This sensor collects the information from the human body and transmits it to their smart phones then to the external server. We introduce an algorithm named as spectrum clustering algorithm (SCA) which clusters people based on activities of the child. Communication is provided between the clusters of people by using context recommendation algorithm. We use prerogative response algorithm (PRA) for load balancing on server while processing the requests. Our processes are simulated using Omnet++ simulator and provide effective results.

Keywords: social networks; sensor networks; load balancing; zone routing protocol; clustering; autism spectrum disorder; ASD.

DOI: 10.1504/IJNVO.2018.095418

International Journal of Networking and Virtual Organisations, 2018 Vol.19 No.2/3/4, pp.133 - 152

Received: 25 Oct 2016
Accepted: 24 Nov 2016

Published online: 04 Oct 2018 *

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