An Active Regrouping Algorithm for Congestion Reduction and Energy Efficiency Enhancement in Wi-Fi Halow Networks
The Wi-Fi HaLow, which consumes less power and which is an extended range version of the 802.11ah Wi-Fi specification, is anticipated to show a significant part in the Internet of Things (IoT) technology. HaLow prolongs the range of Wi-Fi into 900 MHz band, which is a part of the electromagnetic radiation spectrum, suitable for small payloads of data and for less power consuming devices. The HaLow partitions the nodes under an Access Point (AP) into multiple Restricted Access Window (RAW) groups and constrains the wireless channel access only to a definite RAW group at a given period of time. Since it uses the unlicensed wireless bands, the problem of network congestion develops severe in ultra-dense IoT networks. In order to diminish the collision rate, an efficient regrouping algorithm is needed to minimize the possible transmission collisions radically with the device density. In this paper, an efficient method is presented that selectively and dynamically changes the node attachment to a particular RAW group and rearranges their trafï¬c in order to maximize general sleeping intervals without any delay in data transmission. The results obtained from the simulation methods of the proposed dynamic regrouping algorithm shows enhanced performance in terms of the reduction in collision.
Active Regrouping Algorithm, 802.11ah, Wireless Networks, Sub 1-GHz, Restricted Access Window.