Performance Evaluation of Data Offloading Approaches for Mobile Social Networks
Journal Title: International Journal of Engineering and Science Invention - Year 2017, Vol 6, Issue 10
Abstract
Mobile networks are in front of strict traffic overloads suitable to the propagation of tidy handheld devices and transfer ravenous applications. This tries to offload the cellular network traffic through Opportunistic Communications and Social Participation formed by the short-range communication technologies in the smart phones (e.g., Wi-Fi, Bluetooth). We plan an improved Greedy algorithm used for object locate choice Problem. Our design enables to select the most active, fixed located and having more energy mobile nodes into the Target- set, which affect the more number of infected users. Our simulation grades demonstrate to facilitate quantity of node enclosed by improved Greedy algorithm is 89% and Greedy algorithm is 76%. We are able to achieve the rate of success information delivery over the networks in improved Greedy and Greedy algorithms are 71% and 53% respectively. The simulations and numerical results verify that our proposed crosslayer resource allocation can efficiently support diverse QoS requirements over wireless relay networks.the scheduling algorithm at the medium access control (MAC) layer for multiple connections with diverse QoS requirements.
Authors and Affiliations
Pagadala Venkata Subba Reddy, Y. V. Bhaskara Reddy, Dr. Ch. Balaswamy
Keywords
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