Password authentication with insecure communication
Communications of the ACM
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Controllably Mobile Infrastructure for Low Energy Embedded Networks
IEEE Transactions on Mobile Computing
Adaptive contact probing mechanisms for delay tolerant applications
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
A node discovery service for partially mobile sensor networks
Proceedings of the 2nd international workshop on Middleware for sensor networks
Improving energy efficiency of location sensing on smartphones
Proceedings of the 8th international conference on Mobile systems, applications, and services
SensLoc: sensing everyday places and paths using less energy
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Evolution and sustainability of a wildlife monitoring sensor network
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Exploiting Rush Hours for Energy-Efficient Contact Probing in Opportunistic Data Collection
ICDCSW '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems Workshops
A Tale of One City: Using Cellular Network Data for Urban Planning
IEEE Pervasive Computing
Estimating Origin-Destination Flows Using Mobile Phone Location Data
IEEE Pervasive Computing
Data muling with mobile phones for sensornets
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Collecting data in ad-hoc networks with reduced uncertainty
Ad Hoc Networks
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The increasing ubiquity of smartphones coupled with the mobility of their users will allow the use of smartphones to enhance the operation of wireless sensor networks. In addition to accessing data from a wireless sensor network for personal use, and the generation of data through participatory sensing, we propose the use of smartphones to collect data from sensor nodes opportunistically. For this to be feasible, the mobility patterns of smartphone users must support opportunistic use. We analyze the dataset from the Mobile Data Challenge by Nokia, and we identify the significant patterns, including strong spatial and temporal localities. These patterns should be exploited when designing protocols and algorithms, and their existence supports the proposal for opportunistic data collection through smartphones.