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This paper explores Adaptive Fibonacci-based Tuning Protocol for Service and Resource discovery in the Internet of Things (AFT). Through using constrained application protocol (CoAP), Internet of Things (IoT) can support Machines to Machines (M2M) communications. CoAP has centralized and distributed operation modes to discover resources. In the centralized mode, resource directory (RD) is used to...
Internet of Things (IoT) devices are typically deployed in resource (energy, computational capacity) constrained environments. Connecting such devices to the cloud is not practical due to variable network behavior as well as high latency overheads. Fog computing refers to a scalable, distributed computing architecture which moves computational tasks closer to Edge devices or smart gateways. As an...
The unabated plethora of research activities to augment multifarious mobile devices by leveraging cloud resources have created new research field called Mobile Cloud Computing (MCC). Recently, researchers have found Mobile Cloud Computing (MCC) to be a promising venture combining the advantage of both the cloud and mobility in giving users available resources on the cloud wherever they are using their...
Mobile devices can now support a wide range of applications, many of which demand high computational power. Backed by the virtually unbounded resources of cloud computing, today's mobile-cloud (MC) computing can meet the demands of even the most computationally and resource intensive applications. However, many existing MC hybrid applications are inefficient in terms of achieving objectives like minimizing...
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