PhotoNet+: outlier-resilient coverage maximization in visual sensing applications
Proceedings of the 11th international conference on Information Processing in Sensor Networks
CARE: content aware redundancy elimination for challenged networks
Proceedings of the 11th ACM Workshop on Hot Topics in Networks
MediaScope: selective on-demand media retrieval from mobile devices
Proceedings of the 12th international conference on Information processing in sensor networks
Demo abstract: mediascope: selective on-demand media retrieval from mobile devices
Proceedings of the 12th international conference on Information processing in sensor networks
Enhancing video accessibility and availability using information-bound references
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
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We propose PhotoNet, a picture delivery service for camera sensor networks. PhotoNet is motivated by the needs of disaster-response applications, where a group of survivors and first responders may survey damage and send images to a rescue center in the absence of a functional communication infrastructure. The protocol runs on mobile devices, handling opportunistic forwarding (when they come in contact) and in-network storage. It assigns priorities to images for forwarding and replacement depending on the degree of similarity (or dissimilarity) among them, such that scarce resources are assigned to delivery of most ``deserving'' content first. Prioritization aims at reducing semantic redundancy such as that between pictures of the same scene at the same location taken from slightly different angles. This is in contrast to redundancy among identical objects and among time series data. PhotoNet delivers more diverse pictures in terms of event coverage suppressing logically redundant content belonging to the same event. We show that, in resource constrained networks, reducing semantic redundancy can significantly improve the utility of the service.