Energy Aware Resource Allocation for Throughput Maximized IOT Network
||International Journal of Computer Trends and Technology (IJCTT)||
|© 2017 by IJCTT Journal|
|Year of Publication : 2017|
|Authors : E.kowsalya, Mr.D.Saravanan, Mr.R Parthiban|
|DOI : 10.14445/22312803/IJCTT-V45P112|
E.kowsalya, Mr.D.Saravanan, Mr.R Parthiban "Energy Aware Resource Allocation for Throughput Maximized IOT Network". International Journal of Computer Trends and Technology (IJCTT) V45(2):59-61, March 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
The main objective of the project was to allocate the available resources to the large number of IOT users effectively without any energy failure and to increase the overall throughput of the IOT system. To provide seamless services in networks with multiple wireless technologies have been proposed by the Third-Generation Partnership Project (3GPP) and Unlicensed Mobile Access (UMA) .To reduce the bandwidth cost of the IOT tree. The bandwidth cost is reduced by finding the shortest path using Lagrangean Algorithm applying the resource allocation on the IOT sensor system which is having unbalanced energy conditions. It deriving the energy equilibrium formula it will allocate the essential power to the IOT devices.
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Chime (Check pointing long computational intermittently energized IoT devices), QoS (Quality of service), Generation Partnership Project (3GPP), Unlicensed Mobile Access (UMA), Lagrangean Algorithm.