SenseQ: Replying questions of Social Networks users by using a Wireless Sensor Network based on sensor relationships

Abstract

Social Networks are a way of establishing communications with friends or family and a way of knowing what happens around us. However, there are not machines that provide users with information about their worries. What happens if a user wants to know if it is raining in a specific place at that moment? He needs to ask a person who is in that place at that moment. Why not take advantage of the Internet of Things to collect information in real time and answer users questions? The Internet of Things is a field that tries to measure everything by gathering data from sensors and interconnect different objects. Why not combine Social Networks and the Internet of Things? In this paper, we propose the development of a new system that will allow users to ask for information to a network of sensors through Social Networks, concretely in this case through Twitter. The system will have sensors registered by different users and this system that will be used to answer questions of other users. The system will be able to collect information of users sensors, process it, and use it to answer users questions through Social Networks. In order to gather the data from sensors and combine them, we propose three different types of relationships between sensors: neighboring relationship, familiar relationship and working relationship. Besides, we propose an architecture based on three layers: social layer, backend layer and object layer.