Abstract
Message forwarding in opportunistic networks, is a challenging problem owing to the high dynamics of the embedded network. Different from most of the work targeting at this problem, instead of inferring people's movement from context or social knowledge, this paper studies utilizing online public information to learn node's mobility and facilitate the message forwarding for opportunistic networks, including human centered sensor networks. A calendar based message forwarding scheme is proposed on the basis of the online public calendar data to discover path which is a node sequence from source node to destination node where pair of adjacent nodes share overlapped time and location. Message relay occurs when the adjacent nodes have contact with each other during the overlapped time. By forwarding messages along the determined path in opportunistic networks, we could achieve message delivery with extremely low resource consumption. The evaluation results show that it is very promising to support the message forwarding in opportunistic networks by exploring useful online public information such as public calendars.
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