Computation offloading in a SWIPT-based two-hops cooperative fog network

The number of connected wireless devices is skyrocketing. Every day more and more IoT devices are being added to the pool of network. Most of these devices are small in size, with less powerful computational capacity, and are also battery-operated. As these devices are energy-constrained, they have to smart enough to use the available energy wisely and at the same time perform the required operation. This thesis work focuses on an estimation of computation offloading decision thresholds for a SWIPT-based cooperative fog network. There are two energy-constrained nodes, the end node and the relay node, and an access point that is connected to a power source. The goal of the thesis is to find the optimum offloading thresholds for both the end node and the relay node such that the network lifetime is maximized. The relay node can harvest energy from the AP indefinitely. However, the end node can harvest only if the relay node has already harvested enough energy during the packet interarrival period. The simulation was run on MATLAB software. By varying the three parameters, the bandwidth, the packet size, and the packet arrival rate, various simulation results were obtained. In all the simulations, the proposed algorithm performed better than the other scenarios considered for comparison.