Abstract
This paper presents a new methodology for collaborative sensor data management known as WikiSensing. It is a novel approach that incorporates online collaboration with sensor data management. We introduce the work on this research by describing the motivation and challenges of designing and developing an online collaborative sensor data management system. This is followed by a brief survey on popular sensor data management and online collaborative systems. We then present the architecture for WikiSensing highlighting its main components and features. Several example scenarios are described to present the functionality of the system. We evaluate the approach by investigating the performance of aggregate queries and the scalability of the system.
Highlights
Introduction and MotivationSensor devices are currently deployed almost everywhere for measurement and surveillance of various attributes of the environment [1]
This paper has introduced a new collaborative approach for sensor data management known as WikiSensing
The advantage of WikiSensing is based on incorporating online collaboration into sensor data management
Summary
Introduction and MotivationSensor devices are currently deployed almost everywhere for measurement and surveillance of various attributes of the environment [1]. A sensor can be defined as a device capable of capturing physical information such as heat, light or motion about a physical system or an environment. These sensor devices can provide readings of many properties such as pollution levels, temperature and road traffic. It is quite natural that sensors produce a vast amount of data as they continuously monitor environments [3]. We explain three popular sensor data management systems namely the Aurora system, the COUGAR system and Cosm. While Aurora and Cougar are predominantly research-based systems, Cosm is currently available online system with API support. Aurora is a Database management system for managing data in monitoring applications [5]
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