Some computer science issues in ubiquitous computing
Communications of the ACM - Special issue on computer augmented environments: back to the real world
Computer
Wireless sensor network survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
BikeNet: A mobile sensing system for cyclist experience mapping
ACM Transactions on Sensor Networks (TOSN)
Ear-phone: an end-to-end participatory urban noise mapping system
Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks
Ubiquitous Computing Fundamentals
Ubiquitous Computing Fundamentals
Ubiquitous Computing Fundamentals
Ubiquitous Computing Fundamentals
GreenGPS: a participatory sensing fuel-efficient maps application
Proceedings of the 8th international conference on Mobile systems, applications, and services
Examining micro-payments for participatory sensing data collections
Proceedings of the 12th ACM international conference on Ubiquitous computing
A survey of mobile phone sensing
IEEE Communications Magazine
Friendship and mobility: user movement in location-based social networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Quality control for real-time ubiquitous crowdsourcing
Proceedings of the 2nd international workshop on Ubiquitous crowdsouring
| Hi-index | 0.00 |
A fundamental step to achieve the Ubiquitous Computing vision is to sense the environment. The research in Wireless Sensor Networks has provided several tools, techniques and algorithms to solve the problem of sensing in limited size areas, such as forests or volcanoes. However, sensing large scale areas, such as large metropolises, countries, or even the entire planet, brings many challenges. For instance, consider the high cost associated with building and managing such large scale systems. Thus, sensing those areas becomes more feasible when people collaborate among themselves using their portable devices (e.g., sensor-enabled cell phones). Systems that enable the user participation with sensed data are named participatory sensing systems. This work analyzes a new type of network derived from this type of system. In this network, nodes are autonomous mobile entities and the sensing depends on whether they want to participate in the sensing process. Based on two datasets of participatory sensing systems, we show that this type of network has many advantages and fascinating opportunities, such as planetary scale sensing at small cost, but also has many challenges, such as the highly skewed spatial-temporal sensing frequency.