Energy-efficient Fuzzy Multimedia Processing in Wireless Sensor Networks
نویسندگان
چکیده
As the cost of hardware of CMOS cameras and microphones is reasonably low, multimedia sensor networks are becoming highly feasible to extract detailed information about the environment. Distributed smart cameras and video sensor networks are examples of some popular applications. However, due to unique properties of multimedia data delivery, we face novel challenges for resource-constrained sensor networks. High bandwidth demands of multimedia frames prevent the transmission of raw data collected at sensor nodes. On the other hand, processing limitations prohibit the use of sophisticated multimedia processing at individual nodes to reduce the amount of data that needs to be communicated. In this paper, we present a novel framework for multimedia processing in wireless sensor networks considering needs of surveillance video applications. In our framework, automatically extracted moving objects, events and objects’ positions are exploited for efficient communication. We then apply joint processing of collected data to identify events using fuzzy memberships.
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