Abstract
The ever-more-capable smart mobile phone gave birth to a novel sensing paradigm, participatory sensing. In the application environment of mobile participatory sensing networks, mobile equipment is usually weakly connected. Due to uncertainty of connection, mobile nodes sometimes need encounter opportunities to accomplish data communication and transmission. However, the participants’ reluctance would diminish their enthusiasm if there is no incentive mechanism. To address this nontrivial issue, we propose reputation-based incentive schemes to motivate participants to disseminate reliable data in participatory sensing system, named RIDD, while minimizing incentive cost for maintaining sufficient number of reliable participants. When an intended receiver receives the data packet from a participant, the receiver authorizes the participant by an acknowledgment message within an encryption code automatically generated by the data packet, which serves as a proof of successful data delivery. RIDD evaluates participants using reputation degree calculated according to the encryption code, encouraging reliable participants to keep being interested in the participatory service with rewards. We conduct simulations in different scenarios. The results show that RIDD remarkably increases the winning probability of participants who disseminate accurate data and reduces the cost for retaining sufficient number of reliable participants.
Highlights
Smart phones are penetrating human life and over 1 billion people make use of them globally
PEIR [3] is a participatory sensing application which tries to estimate the environment impact to their action based on their location information provided by mobile phone
In scenario A, both reputationbased incentives for data dissemination (RIDD) and SaWcooperative mostly select normal participants, and there are no malicious participants in this scenario, so the two schemes both keep low incentive cost
Summary
Smart phones are penetrating human life and over 1 billion people make use of them globally. Smart phones can communicate with each other and exchange sensing data via their short range radios (e.g., WiFi, Bluetooth, Zigbee, and WiFi-direct) Such mobile device-to-device data transmission can increase network performance and reduce communication cost for both service. Normal participants drop out and malicious ones will control the system without hesitation To fill this gap, we design an incentive mechanism to motivate participants to disseminate reliable sensory data. (ii) We design reputation-based incentive scheme (RIS) for data dissemination in mobile participatory sensing networks. RIS can remarkably decrease incentive cost for maintaining sufficient participants through multidimensional reverse auction where bid price and reputation degree are both considered. RIDD is an efficient data dissemination algorithm to encourage mobile nodes to continuously participate in data dissemination activities and provide reliable data messages with low transmission cost and high delivery ratio.
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