Visible to the public Trust Induced Resource Provisioning (TIRP) Mechanism in IoT

TitleTrust Induced Resource Provisioning (TIRP) Mechanism in IoT
Publication TypeConference Paper
Year of Publication2020
AuthorsHatti, Daneshwari I., Sutagundar, Ashok V.
Conference Name2020 4th International Conference on Computer, Communication and Signal Processing (ICCCSP)
Keywordscloud computing, composability, Computing Theory, Computing Theory and Trust, Gang Plank, human factors, Internet of Things, Nash equilibrium, performance evaluation, pubcrawl, Resiliency, resource provisioning, Scalar chain, Signal processing algorithms, Task Analysis, Time factors, Trust
AbstractDue to increased number of devices with limited resources in Internet of Things (IoT) has to serve time sensitive applications including health monitoring, emergency response, industrial applications and smart city etc. This has incurred the problem of solving the provisioning of limited computational resources of the devices to fulfill the requirement with reduced latency. With rapid increase of devices and heterogeneity characteristic the resource provisioning is crucial and leads to conflict of trusting among the devices requests. Trust is essential component in any context for communicating or sharing the resources in the network. The proposed work comprises of trusting and provisioning based on deadline. Trust quantity is measured with concept of game theory and optimal strategy decision among provider and customer and provision resources within deadline to execute the tasks is done by finding Nash equilibrium. Nash equilibrium (NE) is estimated by constructing the payoff matrix with choice of two player strategies. NE is obtained in the proposed work for the Trust- Respond (TR) strategy. The latency aware approach for avoiding resource contention due to limited resources of the edge devices, fog computing leverages the cloud services in a distributed way at the edge of the devices. The communication is established between edge devices-fog-cloud and provision of resources is performed based on scalar chain and Gang Plank theory of management to reduce latency and increase trust quantity. To test the performance of proposed work performance parameter considered are latency and computational time.
Citation Keyhatti_trust_2020