Dew Computing: The Sustainable IoT Perspectives by Debashis De & Samarjit Roy

Author:Debashis De & Samarjit Roy
Language: eng
Format: epub
ISBN: 9789819945900
Publisher: Springer Nature Singapore

2 Literature Survey

Dynamic real-time traffic-aware vehicle routing employing V2V communication has several difficulties, like (i) How to get actual time information, (ii) How to route a vehicle dynamically based on in-time information as the vehicle moves on the road, and (iii) How to get a consistent network. Real-time traffic data collection requires effective data packet routing from cars to vehicles. The connectivity between two vehicles in V2V communication is referred to as a link. Vehicle-assisted networks (VANETs) are characterized by highly dynamic topologies with frequent link breakages, network fragmentation, and a high number of packet collisions and interferences. This is due to the highly dynamic nature of vehicle mobility as well as the complex road condition and building blockage. The evaluation of Quality of Service (QoS) in the delivery of arbitrary data packets from a source vehicle to a destination vehicle has thus been the main focus of studies of VANET protocols [26]. However, the process of gathering traffic data typically involves several sources (vehicles on the desired route giving data) and a single destination (the vehicle requesting data), which increases the number of hops and latency. Four V2V protocols are put forth by [32] for the use of beacon messages to detect traffic congestion along routes of interest. To improve the robustness of the data transmission system in the event of a bad network environment [54], suggest dew computing. Dew computing’s main goal is to give edge devices the ability to function without the internet according to [43]. Edge devices can still synchronize data with the cloud server when they can access the internet. The authors describe dew computing has two crucial characteristics: independence and collaboration. A dew computing model needs to meet a number of conditions. For instance, it should at the very least include all types of dew computing applications offered as a service, including not being constrained by a particular class of applications. For instance, one straightforward way to model dew computing is to treat each dew computing system as an Internet. It is denoted that to build a network of computers that are linked together using TCP/IP protocols. Taking this strategy into account, each on-premises computer or a collection of such computers is structured as an Internet; websites are made on this Internet and numerous services are available in this separate dew world. The lacuna of this work is that not much investigations are available for disrupted Internet in IoVs. This limitations of the literature motivated to study cache-enabled dew computing. The article [37] studied the edge computing, sometimes referred to as mobile computing, which is the process of performing computation at the edge of a device’s network. This implies that a computer is linked to the device’s network, processing the data before instantly sending it to the cloud. This device is referred to as a “edge node” or “edge computer.” An addition to cloud computing in a disrupted interconnections of communication via Internet, fog computing work between edge and cloud computing systems. Fog computing becomes a layer that exists between the cloud and the edge.

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