scholarly journals A Task Execution Scheme for Dew Computing with State-of-the-Art Smartphones

Electronics ◽  
2021 ◽  
Vol 10 (16) ◽  
pp. 2006
Author(s):  
Matías Hirsch ◽  
Cristian Mateos ◽  
Alejandro Zunino ◽  
Tim A. Majchrzak ◽  
Tor-Morten Grønli ◽  
...  

The computing resources of today’s smartphones are underutilized most of the time. Using these resources could be highly beneficial in edge computing and fog computing contexts, for example, to support urban services for citizens. However, new challenges, especially regarding job scheduling, arise. Smartphones may form ad hoc networks, but individual devices highly differ in computational capabilities and (tolerable) energy usage. We take into account these particularities to validate a task execution scheme that relies on the computing power that clusters of mobile devices could provide. In this paper, we expand the study of several practical heuristics for job scheduling including execution scenarios with state-of-the-art smartphones. With the results of new simulated scenarios, we confirm previous findings and better comprehend the baseline approaches already proposed for the problem. This study also sheds some light on the capabilities of small-sized clusters comprising mid-range and low-end smartphones when the objective is to achieve real-time stream processing using Tensorflow object recognition models as edge jobs. Ultimately, we strive for industry applications to improve task scheduling for dew computing contexts. Heuristics such as ours plus supporting dew middleware could improve citizen participation by allowing a much wider use of dew computing resources, especially in urban contexts in order to help build smart cities.

2020 ◽  
Vol 2020 ◽  
pp. 1-29
Author(s):  
Rehan Tariq ◽  
Zeshan Iqbal ◽  
Farhan Aadil

Technology advancement in the field of vehicular ad hoc networks (VANETs) improves smart transportation along with its many other applications. Routing in VANETs is difficult as compared to mobile ad hoc networks (MANETs); topological constraints such as high mobility, node density, and frequent path failure make the VANET routing more challenging. To scale complex routing problems, where static and dynamic routings do not work well, AI-based clustering techniques are introduced. Evolutionary algorithm-based clustering techniques are used to solve such routing problems; moth flame optimization is one of them. In this work, an intelligent moth flame optimization-based clustering (IMOC) for a drone-assisted vehicular network is proposed. This technique is used to provide maximum coverage for the vehicular node with minimum cluster heads (CHs) required for routing. Delivering optimal route by providing end-to-end connectivity with minimum overhead is the core issue addressed in this article. Node density, grid size, and transmission ranges are the performance metrics used for comparative analysis. These parameters were varied during simulations for each algorithm, and the results were recorded. A comparison was done with state-of-the-art clustering algorithms for routing such as Ant Colony Optimization (ACO), Comprehensive Learning Particle Swarm Optimization (CLPSO), and Gray Wolf Optimization (GWO). Experimental outcomes for IMOC consistently outperformed the state-of-the-art techniques for each scenario. A framework is also proposed with the support of a commercial Unmanned Aerial Vehicle (UAV) to improve routing by minimizing path creation overhead in VANETs. UAV support for clustering improved end-to-end connectivity by keeping the routing cost constant for intercluster communication in the same grid.


Author(s):  
Vu Khanh Quy ◽  
Pham Minh Chuan ◽  
Le Anh Ngoc

Mobile ad-hoc networks (MANETs) is a set of mobile devices that can self-configuration, self-established parameters to transmission in-network. Although limited inability, MANETs have been applied in many domains to serve humanity in recent years, such as disaster recovery, forest fire, military, intelligent traffic, or IoT ecosystems. Because of the movement of network devices, the system performance is low. In order to MANETs could more contribution in the future of the Internet, the routing is a significant problem to enhance the performance of MANETs. In this work, we proposed a new delay-based protocol aim enhance the system performance, called performance routing protocol based on delay (PRPD). In order to analyze the efficiency of the proposed solution, we compared the proposed protocol with traditional protocols. Experiment results showed that the PRPD protocol improved packet delivery ratio, throughput, and delay compared to the traditional protocols.


Author(s):  
Varun G. Menon ◽  
Joe Prathap

In recent years Vehicular Ad Hoc Networks (VANETs) have received increased attention due to its numerous applications in cooperative collision warning and traffic alert broadcasting. VANETs have been depending on cloud computing for networking, computing and data storage services. Emergence of advanced vehicular applications has led to the increased demand for powerful communication and computation facilities with low latency. With cloud computing unable to satisfy these demands, the focus has shifted to bring computation and communication facilities nearer to the vehicles, leading to the emergence of Vehicular Fog Computing (VFC). VFC installs highly virtualized computing and storage facilities at the proximity of these vehicles. The integration of fog computing into VANETs comes with a number of challenges that range from improved quality of service, security and privacy of data to efficient resource management. This paper presents an overview of this promising technology and discusses the issues and challenges in its implementation with future research directions.


Author(s):  
Tarek S. Sobh

Aim:: This work evaluates existing secure ant colony protocols of MANETs such as ASHFIK, AAMRP, and MANHSI with each other. Here, each node in the proposed ad hoc network protocols is known with a trust value. Each trust value represents the corresponding security level and a node with a higher trust value is authorized to monitor and lead as a core node its neighboring nodes. Background:: Trusted critical MANET is a secure wireless network that is used in different critical applications. Military battlefields are an example of these applications that force on people a number of needed things including robustness and reliable performance within high mobility situations and constraints (e.g. hostile attacks, cost, and battery limits). Objectives:: In this work, the extremely important similarity between the features of critical MANETs and the core-based routing protocols that are based-on ant colonies. Methods:: The metrics used in this evaluation are the availability, reliability, packet delivery ratio, and total overheads, while the performance is serious and stubborn because of the mobility of node, senders' number, and size of a multicast group. Results:: The results of the simulation show that ASHFIK provides better availability, reliability, Packet Delivery Ratio (PDR), and lower total overheads. In addition, the results show that ASHFIK remains consistent performance with a different group size of the network. It means a trusted and scalable network of ant colony core-based routing protocols. Conclusion:: here are existing different mobile ad hoc networks based-on ant colonies. According to our comparative study and state-of-the-art, the ASHFIK protocol can be used as a good routing protocol for critical MANETs that are based-on ant colonies.


Author(s):  
Irina Tal ◽  
Gabriel-Miro Muntean

This chapter highlights the importance of vehicular ad-hoc networks (VANETs) in the context of the 5G-enabled smarter cities and roads, a topic that attracts significant interest. In order for VANETs and its associated applications to become a reality, a very promising avenue is to bring together multiple wireless technologies in the architectural design. 5G is envisioned to have a heterogeneous network architecture. Clustering is employed in designing optimal VANET architectures that successfully use different technologies. Therefore, clustering has the potential to play an important role in the 5G-VANET-enabled solutions. This chapter presents a survey of clustering approaches in the VANET research area. The survey provides a general classification of the clustering algorithms, presents some of the most advanced and latest algorithms in VANETs, and it is among the fewest works in the literature that reviews the performance assessment of clustering algorithms.


In recent time, with the fast development of the mobile system, Mobile Ad-hoc Networks (MANETs) have been fucus studied and applied in many areas such as rescue, military, medical applications and smart cities. Due to the characteristics of MANETs, routing protocols must be designed to be flexible, energy-efficient and highly performance achievable. Increasing network lifetime by reducing energy consumption level is a major method in the design of saving energy routing protocols in MANETs. In this study, we propose an improved routing protocol from AODV with a new cost function, applied to MANETs. The simulation results show, our proposed protocol saves energy consumption, increases network life, packet delivery rates, and improves performance over AODV


2019 ◽  
Vol 16 (10) ◽  
pp. 4356-4361 ◽  
Author(s):  
Seema Gaba ◽  
Kavita ◽  
Sahil Verma

The vehicular ad-hoc networks make a simple case of networks which are supposed to be very smart because of the tasks and crucial decision making they have to carry out. Since they are on the move, the transmission and reception of information has to be quick in order to make the networks efficient in term of computing time. Fog enabled VANET make the systems more capable by processing much of the information locally and only sending crucial decision making to the cloud which saves time and worth for all sub dependent systems. In this work we have reviewed the two fog enabled VANET schemes, one is SIVNFC (Secure intelligent vehicular network using fog computing) and the other is SOLVE (localization system frameworks).


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