Internet of Things (IoT) Framework Deployment Template for Cloud-Based Harbor Surveillance and Ferry Monitoring System

Abstract

Cloud computing is a lucrative option to deal with data that is huge with high velocity; the kind that is generated by sensors installed in harbor monitoring and surveillance. Real-time data is collected by sensors deployed under the sea surface and along the coast. Sensors installed on ships enable monitoring ship movements and facilitate intrusion detection. These sensors generate huge volume of data which is not feasible to be stored locally given the hardware constrains of the sensor devices. Such data can be assimilated and forwarded via a gateway to a cloud storage space. Data and processed information on cloud can be accessed with the help of customized cloud applications by ferry passengers, ferry owners, and harbor administration staff as availed cloud services. This paper presents a deployment template of a cloud-based IoT framework for harbor surveillance and ferry monitoring system. Here, the functional metrics such as average service time is determined with the help of stochastic queuing system.