Gateway Placement Optimization using Multihop Traffic Approach in IoT Network

Abstract

The Internet of Things (IoT) is a promising advanced technology that links large wireless communications machines and devices in the future. In effective wireless communication, Gateway plays a significant tile. The performance of IoT networks is affected by various network parameters such as the position in the network gateways and heterogenous coordinating devices. To increase the performance of the network, the placement of the gateways should be optimal, which reduces the deployment cost and increases throughput. Furthermore, more than one gateway reduces congestion within the IoT network, resulting in noise and cost increases.  Most researchers focused on the placement of internet gateway or mesh routers in the Wireless Mesh Network (WMN). However, the gateway placement problem needs to focus on IoT networks where heterogeneous wireless technologies are involved for machine-to-machine communication(M2M).  In this article, a revolutionary IoT network gateway positioning is proposed. It defines the locality of a gateway based on the new Multi-hop Traffic Metric (Mh_TM). The Mh_TM computing includes many factors affecting the throughput of IoT networks: the set of coordinating devices, the set of gateways, the demand for traffic from coordinating devices, locality of gateways, and potential interference between gateways. The projected gateway position strategy offers a mechanism in which IoT networks improve their performance substantially by correctly placing gateways. A non-asymptotic throughput of the IoT network is driven by using link scheduling to assess the efficiency of the current gateway placement system. The experimental results of the proposed gateway placement system are outperforming the other systems with improved margins.