The popularity of IEEE 802.11 based Wireless Local Area Networks (WLAN) has increased significantly in recent years because of their ability to provide increased mobility, flexibility, ease of use along with reduced cost of installation and maintenance. This has resulted in massive WLAN deployment in geographically limited environments that encompass multiple Overlapping Basic Service Set (OBSS). In this article, we introduce the IEEE 802.11ax, a new standard being developed by the IEEE 802.11 Working Group, which will enable efficient usage of spectrum along with enhanced user experience. We expose advanced technological enhancements proposed to improve the efficiency within high density WLAN networks and explore the key challenges to the upcoming amendment.

Since the conception of the Internet of things (IoT), a large number of promising applications and technologies have been developed, which will change different aspects in our daily life. This paper explores the key characteristics of the forthcoming IEEE 802.11ah specification. This future IEEE 802.11 standard aims to amend the IEEE 802.11 legacy specification to support IoT requirements. We present a thorough evaluation of the foregoing amendment in comparison to the most notable IEEE 802.11 standards. In addition, we expose the capabilities of future IEEE 802.11ah in supporting different IoT applications. Also, we provide a brief overview of the technology contenders that are competing to cover the IoT communications framework. Numerical results are presented showing how the future IEEE 802.11ah specification offers the features required by IoT communications, thus putting forward IEEE 802.11ah as a technology to cater the needs of the Internet of Things paradigm.

The explosive growth in the usage of IEEE 802.11 network has resulted in dense deployments in diverse environments. Most recently, the IEEE working group has triggered the IEEE 802.11ax project, which aims to amend the current IEEE 802.11 standard to improve efficiency of dense WLANs. In this paper, we evaluate the Dynamic Sensitivity Control (DSC) Algorithm proposed for IEEE 802.11ax. This algorithm dynamically adjusts the Carrier Sense Threshold (CST) based on the average received signal strength. We show that the aggregate throughput of a dense network utilizing DSC is considerably improved (i.e. up to 20%) when compared with the IEEE 802.11 legacy network.Postprint (author's final draft

The popularity and wider acceptance of IEEE 802.11 based WLANs has resulted in their dense deployments\ud in diverse environments. While this massive deployment can potentially increase capacity and coverage, the current\ud physical carrier sensing of IEEE 802.11 cannot limit the overall interference induced and also cannot insure high\ud concurrency among transmissions. Recently, the IEEE 802.11 working group has continued efforts on developing\ud WLAN technology through the creation of the TGax, which aims to improve efficiency of densely deployed IEEE 802.11\ud networks. In this paper, we propose a Dynamic Sensitivity Control for Access Point (DSC-AP) algorithm for IEEE\ud 802.11ax. This algorithm dynamically adjusts the Carrier Sensing Threshold (CST) of an AP based on received signal\ud strength from its associated stations and interfering APs. We show that the aggregate throughput of a dense network\ud (under asymmetric traffic conditions) utilizing DSC (both at the stations and AP) is considerably improved (i.e. up to\ud 32%) when compared with legacy IEEE 802.11. © 2016 IEEE.Peer ReviewedPostprint (published version

The Internet of Things (IoT) is revolutionizing technology in a wide variety of areas, from smart healthcare to smart transportation. Due to the increasing trend in the number of IoT devices and their different levels of energy requirements, one of the significant concerns in IoT implementations is powering up the IoT devices with conventional limited lifetime batteries. One efficient solution to prolong the lifespan of these implementations is to integrate energy harvesting technologies into IoT systems. However, due to the characteristics of the energy harvesting technologies and the different energy requirements of the IoT systems, this integration is a challenging issue. Since Medium Access Control (MAC) layer operations are the most energy-consuming processes in wireless communications, they have undergone different modifications and enhancements in the literature to address this issue. Despite the essential role of the MAC layer to efficiently optimize the energy consumption in IoT systems, there is a gap in the literature to systematically understand the possible MAC layer improvements allowing energy harvesting integration. In this survey paper, we provide a unified framework for different wireless technologies to measure their energy consumption from a MAC operation-based perspective, returning the essential information to select the suitable energy harvesters for different communication technologies within IoT systems. Our analyses show that only 23% of the presented protocols in the literature fulfill Energy Neutral Operation (ENO) condition. Moreover, 48% of them are based on the hybrid approaches, which shows its capability to be adapted to energy harvesting. We expect this survey paper to lead researchers in academia and industry to understand the current state-of-the-art of energy harvesting MAC protocols for IoT and improve the early adoption of these protocols in IoT systems.

Abstract-The most essential part of Internet of Things (IoT) infrastructure is the wireless communication system that acts as a bridge for the delivery of data and control messages. However, the existing wireless technologies lack the ability to support a huge amount of data exchange from many battery driven devices spread over a wide area. In order to support the IoT paradigm, the IEEE 802.11 standard committee is in process of introducing a new standard, called IEEE 802.11ah. This is one of the most promising and appealing standards, which aims to bridge the gap between traditional mobile networks and the demands of the IoT.In this paper, we first discuss the main PHY and MAC layer amendments proposed for IEEE 802.11ah. Furthermore, we investigate the operability of IEEE 802.11ah as a backhaul link to connect devices over a long range. Additionally, we compare the aforementioned standard with previous notable IEEE 802.11 amendments (i.e. IEEE 802.11n and IEEE 802.11ac) in terms of throughput (with and without frame aggregation) by utilizing the most robust modulation schemes. The results show an improved performance of IEEE 802.11ah (in terms of power received at long range while experiencing different packet error rates) as compared to previous IEEE 802.11 standards.

The need for higher data rates and improved coverage has led to massive and uncoordinated deployments\ud of IEEE 802.11 based WLAN Access Points in geographically limited areas that has resulted in increased interference\ud with reduced area throughput. Recently, the IEEE 802.11 working group has continued efforts to cater the\ud aforementioned problems by creating the IEEE 802.11ax Task Group, TGax (which aims to improve performance in\ud dense environments). TGax has been actively involved in the design of Clear Channel Access (CCA) modification\ud schemes, where Dynamic Sensitivity Control (DSC) algorithm has been proposed as one of the key innovative\ud technologies to increase the spectral reuse. However, DSC scheme has drawbacks: increase in frame collisions as\ud well as hidden node count. In this paper, we propose the combined usage of DSC along with an intelligent mechanism\ud to enable RTS/CTS on selected stations within densely deployed WLAN network. We present methods to select\ud stations for 4-way handshake and indicate considerable gains (up to 60%) when a network utilizing the aforementioned\ud method is compared with legacy IEEE 802.11 operation.Peer ReviewedPostprint (published version

The widespread deployment of IEEE 802.11 has made it an attractive target for potential attackers. The latest IEEE 802.11 standard has introduced encryption and authentication protocols that primarily address the issues of confidentiality and access control. However, improving network availability in the presence of misbehaving stations has not been addressed in the standard. Existing research addresses the problem of detecting misbehavior in scenarios without overlapping cells. However, in real scenarios cells overlap, resulting in a challenging environment for detecting misbehavior. The contribution of this paper is the presentation and evaluation of a new method for detecting misbehavior in this environment. This method is based on an objective function that uses a broad range of symptoms. Simulation results indicate that this new approach is very sensitive to misbehaving stations in ultra dense networks.