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illustrate the usefulness of fog-integrated UEs (Figure 1.4).
1.3.5.1 Healthcare
Healthcare is one of the top-five application domains in fog computing that has potential market value up to $2737 billion by year 2022 [33]. Specifically, IoMT applications, which commonly rely on the central cloud for managing data and performing decision-making, are now distributing certain tasks to the intermediate gateways. In particular, IoMT applications broadly utilize UEs (e.g. smartphones, tablets, etc.) as the gateways of wearable body sensors, in order to let the IoMT servers (e.g. hospital) acquire the sensory data anytime, anywhere from the patients. Further, considering the need of agile sensory data stream processing when the patients are in outdoor areas, which may not be able to maintain a high-quality network connection, utilizing the infrastructural fog (e.g. hosted at the cellular base station or ISP's Wi-Fi access points [APs]) can highly improve the overall agility of the data processing and identification of emergency situations. Moreover, considering modern UEs have powerful central processing units (CPUs) and decent storage spaces when the infrastructural fog is unavailable, the processes can also migrate to UEs to support the service continuity [34].
Figure 1.4 UE fog computing examples. (See color plate section for the color representation of this figure)
1.3.5.2 Content Delivery
Besides utilizing UEs as computing-based fog servers, UE-based fog computing nodes (UE-fog nodes) are also the ideal networking service providers. For example, replays of soccer matches, which catch important moments of the game, haver become an indispensable element of the sports game for the fans both inside or outside the stadium. Fundamentally, the audience members download the replay video to their UEs via the Internet. However, considering that there can be a large number of requests coming from the audience, the local wi-fi or cellular base stations may not be able to provide sufficient speed, especially when the audience demands high-quality or even ultra-high-quality videos. In order to address this problem, the application can host fog servers in the UEs of the audience to support the SDN mechanism, which allows the service provider to establish a local ad-hoc content caching group among the fans in the stadium and its surrounding areas toward reducing the burden of both the ISP and the soccer replays service provider [35].
1.3.5.3 Crowd Sensing
Integrating UEs into the fog can raise many advanced people-centric applications that are directly related to people's daily lives. For example, in the lost child situation, local government or police can collaborate with a local ISP to request the SDN mechanism-supported UE-fog nodes, which are hosted on the smartphones of the people on-site, to assist the lost child situation by utilizing the inbuilt cameras and audio recorder of the UEs as the sensors, then utilize some of the more powerful UE-fog nodes as the super-peers to route the data to the local cloud of the ISP, which is accessible by the government and the police, toward hastening the entire process. Moreover, the UE-fog nodes that have high-performance computational power can also provide context as a service (CaaS) instead of routing the raw sensory data [36]. Specifically, CaaS mechanism–supported UE-fog nodes allow the requesters to deploy their own data processing algorithm to UE-fog nodes toward preprocessing the raw sensory data and hastening the overall process.
1.4 Communication Technologies
In this section, we give an overview of communication technologies used by mobile things and mobile fog nodes in each of the major application domains. Unsurprisingly, in existing literature Wi-Fi technology is most prevalent, due to the ready availability of devices with 802.11 support: routers, smartphones, single board computers. Wi-fi is suitable for mFog thanks to the easy mobility of Wi-Fi AP technology. On the other hand, 4G technology, e.g. long-term evolution (LTE), which needs static base stations is the dominant option for iFog.
The fast movement of nodes among road network environment has obliged the existing protocol for the physical layer to consider multipath fading and Doppler frequency shifts. Therefore, the trend is to use very high-frequency radio waves, such as micro or millimeter waves.
1.4.1 IEEE 802.11
The IEEE 802.11 set of specifications, commonly referred to as Wi-Fi, is the most widely used wireless communication technology found in fog computing. Since Wi-Fi infrastructure is widely deployed in homes, offices, public spaces, and so forth, it is the natural choice for fog-thing and fog-UE communication, with the fog node hosting the Wi-Fi AP.
The standards 802.11n and 802.11ac, for instance, have a typical data rate of 200 and 400–700 Mbps respectively, the typical range of 802.11 routers in the 2.4 GHz band can be up to 50 m [37]. The next generation 802.11ax promises to enhance data rates further, but it is unlikely that significantly higher coverage range will be achieved in practice, due to the recent versions using the 2.4 and 5 GHz bands.
Interestingly, advertising capabilities of 802.11 can be improved by including additional information (e.g. fog node capability and status) in the 802.11 advertising beacons [38].
The mentioned signal coverage ranges are suitable in domains where the client device mobility speed is low; consider, for example, pedestrians in UE-fog. Additionally, the smartphones already employ the technology. Existing UE-fog research that does not include real-world technology choice and simply consider the data rate aligns with the capabilities of wi-fi. For example, even 6.9 Gbps rates [39] are theoretically supported by 802.11ac. In terms of existing research prototypes, laptop hotspots are a common choice to establish the wi-fi AP [40–42]. Since laptop hotspots generally operate with 802.11n technology, it is important to consider the newer standards in future fog prototypes.
In UAV-fog, following the mFog concept, a wi-fi AP could reside at UAV node or, alternatively, static 802.11ac APs may act as sink nodes supporting a group of UAVs [16].
IEEE 802.11p, a.k.a. wireless access in vehicular environments (WAVEs) is adapted for the wireless environment with vehicles. In addition, they are designed in such manner that they are very suitable for single hop broadcast V2V communications; however, this technology suffers from an issue related to scalability, reliability, and unbounded delays due to its contention-based distributed medium access control mechanism [23, 43].
For maritime use cases, the coverage ranges offered by Wi-Fi are generally not suitable. However, Wi-Fi is useful in vessels for onboard networks where the clients are crew and passengers, but such scenarios can be categorized rather as UE-fog.
1.4.2 4G, 5G Standards
Currently operating cellular networks target the requirements of the 4G standard (also known as IMT-Advanced), specified by the International Telecommunication Union (ITU) in 2008 [44]. For instance, the requirements suggest 100 Mbps data rates for clients moving at high speeds (e.g. in a train) and 1 Gbps for stationary situations.
Among technology standards accepted as fulfilling the 4G requirements are IEEE 802.16m (WiMAX v2) and 3 GPP Long Term Evolution-Advanced (LTE Advanced), the latter of which has seen far bigger deployment and thus is the common option for existing mobile fog.
To supersede 4G, the ITU is defining requirements for the 5G networks, also called IMT-2020. The 2017 draft of technical performance requirements [45] notes peak data rates of 20 and 10 Gbps for downlink and uplink, respectively, and specifies channel link data rates for four different mobility classes. 5G also specifically targets supporting cases where the density of devices is large, growing from 4G's 105–106 devices km−2 [46].
5G networks are enablers