A Comparative Study on Gateway Selection in IoT

Due to the growing application of IoT some crucial challenges have emerged in this sector such as maximizing throughput, minimizing energy consumption of the gateways and balancing loads among the gateways efficiently. This paper conducts a comparative analysis among a few of the most innovative and promising gateway selection models to find out which of these models are relatively more effective to tackle the above-mentioned challenges in IoT. For our research, Game Theory Gateway Selection (GTGWS), Taxi-Sharing, Floyd-Warshall & Minimax (FWM) Algorithm and Evolved Reliability and Traffic-aware Gateway Selection (ERTGS) model were studied and tested under two distinguished network conditions - different `demand' of the end devices & different `number' of end devices connected to the gateway. Results were obtained for various evaluation criteria such as throughput, load balancing and energy consumption. The result showed that one specific model cannot excel at tackling all the challenges. Each model has its own strength that can be utilized for different network priorities. Among them, ERTGS managed to surpass others in two areas which are low energy consumption and high throughput. The working principle of the models, comparison and analysis among them are discussed in details in this paper.