The wireless networked sensors embedded with everyday objects will become an integral part of Future Internet, where the interaction among people, computer and those objects will shift the current Internet to a new paradigm, namely the Internet of Things. The terabyte torrent of data generated by billions of sensors belonging to a large number of distributed heterogeneous sensor networks in Future Internet will only be valuable if they can be effectively used on purpose, which leads to the necessity of an Internet scale query processing framework. In this paper, firstly, we focus on the distinct challenges present in Internet scale query processing over distributed sensor networks. Then, we propose a flexible and scalable system architecture capable of handling the complex scenario that might arise from the integration of a large number of such networks in Future Internet. Finally, we discuss the overall query processing methodology over such system and present some directions on the possible solutions to a number of identified research challenges. The outcome of this paper would foster the sensor network research in Future Internet domain
Abstract—Preserving privacy in participatory sensing systems has recently gained research interest as voluntary contribution in such systems is not worthy if the privacy of the participants is not protected. On the other hand, data integrity is desired imperatively to make the service trustworthy and user-friendly. In this paper, we have proposed an adaptive location anonymization technique, which is capable of retaining an acceptable level of data integrity while keeping its vulnerability to eavesdropping adversaries low. Experimental results establish the proposed concept as a superior approach in balancing, somehow orthogonal, user privacy and data integrity.