Mobile Computing Projects

Abstract:

We propose a pricing scheme, PRIME, for mobile Sensors-as-a-Service (mSe-aaS) in the mobile sensor-cloud (MSC) architecture to optimally distribute financial profit among MSC actors. MSC introduces the device owner, whose mobile device hosts the physical sensor nodes, unlike traditional sensor-clouds.

For providing mSe-aaS to end-users, device and sensor owners earn revenues based on sensor node and mobile device usage. Modern architecture has no pricing scheme. To find the best pricing strategy, we consider the device owner, sensor owner, Sensor-Cloud Service Provider (SCSP), and end-user. Lagrangian multiplier and Karush-Kuhn-Tucker (KKT) conditions are used to design such a strategy.

However, an end-user has many SCSP choices. PRIME lets end-users choose a SCSP based on their reputation. Sensor and device owners profit 25.67% and 29.12%, respectively, from PRIME. We compare PRIME to a traditional sensor-cloud pricing scheme. PRIME improves service return by 55.31% over sensor-cloud architecture.

Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.

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