Sensors on (or attached to) mobile phones can enable attractive sensing applications in different domains, such as environmental monitoring, social networking, healthcare, transportation, etc. We introduce a new concept, sensing as a service (S 2 aaS), i.e., providing sensing services using mobile phones via a cloud computing system. An S 2 aaS cloud needs to meet the following requirements: 1) it must be able to support various mobile phone sensing applications on different smartphone platforms; 2) it must be energy-efficient; and 3) it must have effective incentive mechanisms that can be used to attract mobile users to participate in sensing activities. In this vision paper, we identify unique challenges of designing and implementing an S 2 aaS cloud, review existing systems and methods, present viable solutions, and point out future research directions.Index Terms-Mobile phone sensing, sensing as a service, cloud computing, energy-efficiency, incentive mechanisms.

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Device-to-Device (D2D) communication has emerged as a promising technique for improving capacity and reducing power consumption in wireless networks. Most existing works on D2D communications either targeted CDMA-based singlechannel networks or aimed to maximize network throughput. In this paper, we, however, aim at enabling green D2D communications in OFDMA-based wireless networks. We formally define an optimization problem based on a practical link data rate model, whose objective is to minimize power consumption while meeting user data rate requirements. We then present an effective algorithm to solve it in polynomial time, which jointly determines mode selection, channel allocation and power assignment. It has been shown by extensive simulation results that the proposed algorithm can achieve over 57% power savings, compared to several baseline methods.

Sensors on (or attached to) mobile phones can enable attractive sensing applications in different domains such as environmental monitoring, social networking, healthcare, etc. We introduce a new concept, Sensing-as-a-Service (S 2 aaS), i.e., providing sensing services using mobile phones via a cloud computing system. An S 2 aaS cloud should meet the following requirements: 1) It must be able to support various mobile phone sensing applications on different smartphone platforms.2) It must be energy-efficient. 3) It must have effective incentive mechanisms that can be used to attract mobile users to participate in sensing activities. In this paper, we identify unique challenges of designing and implementing an S 2 aaS cloud, review existing systems and methods, present viable solutions, and point out future research directions.Index Terms-Mobile phone sensing, sensing as a service, cloud computing, energy-efficiency, incentive mechanisms.

No abstract