Mobile Computing and Vehicle Communication

This article discusses the impact of mobile computing and vehicle communication on the field of computing technology. It covers the different forms of integrations within the sector, the use of mobile-based cloud computing, wireless technologies, and distributed computing. It also analyzes the impact of vehicle communication and the different forms of enabled applications.

Running head: MOBILE COMPUTING AND VEHICLE COMMUNICATION
Mobile Computing and Vehicle Communication
Name of the Student
Name of the University
Author’s note

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Table of Contents
1. Introduction..................................................................................................................................2
2. A Brief Analysis of Mobile Computing and Vehicle Communication.......................................2
2.1 Mobile Computing.................................................................................................................2
2.2 Vehicle Communication........................................................................................................4
2.3 Impact of Mobile Computing and Vehicle Communication.................................................5
3. Conclusion...................................................................................................................................6
4. Recommendation.........................................................................................................................6
5. References....................................................................................................................................8

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1. Introduction
The rapid forms of developments within the sector of mobile computing based
technologies have led to the rise of different forms of inventions. The rise of smartphones and
different other connected devices have led to the primary access of the devices to the internet
platform. The impact of mobile-based cloud computing has led to tremendous forms of benefits
in the field of computing technology (Trusiewicz & Legierski, 2013). They have several forms of
integrations within the sector such as the use of the personal form of computing, cloud-based
computing, wireless technologies and distributed form of computing. The most common form of
areas that are been highly challenged is the field of vehicle communication and the different
forms of enabled applications. There have been several forms of increasing number of
interactions between the sensing and computing enabled devices (Wang et al., 2016). They have
hence introduced many of issues within the various areas of research such as connectivity,
routing, broadcasting, link, and channel access, capacitive planning, privacy prevention, and
many others. The use of these forms of devices would help in enhancing of quality of life within
the sector. The use of these technologies would also bring several forms of changes within the
sector of mobile computing and vehicle communication. This would be helpful in gaining
different forms of insights within the sector.
2. A Brief Analysis of Mobile Computing and Vehicle Communication
2.1 Mobile Computing
Mobile computing could be defined as the vast set of IT-enabled solutions and
technologies, services, products and the use of different kinds of operational strategies and
procedures. These vast set of procedures play a major form of role based on the improvement of
services within the area of computing (Dinh et al., 2013). The use of mobile-based computing

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refers to the access of information within any form of location. This could be made possible with
the impact of an equipment. There are different forms of applications that are majorly been used
in the real world applications. The use of non-mobile or desktop computers would also allow for
a much larger form of higher form of degree based on the impact of the higher form of
computational performance. The use of mobile computing services has become vehicle-based on
the choice for every kind of users. The primary form of convenience based on mobile computing
could be based on the fact that users would be able to access the information from anywhere in
the world. The primary form of advantage is that customers would be able to view the different
computing services based on the computational resources (Gikas & Grant, 2013).
In general aspects, the contemporary form of the technology based on mobile computing
would involve the workstation based on mobile computing, they would be commonly be referred
to as the mobile device. This would also include the wireless network connection that would
primarily be based on Wi-Fi or cellular form of technology. The use of mobile computing
platforms includes the use of different kinds of devices that includes notebook based PCs, mobile
phones, tablets, smartphones (Suo et al., 2013). They also include different forms of products
that would be aimed at the designing of specialized and vertical based applications. The impact
of mobile computing would also involve the implications of these form of computing services in
different forms of medical applications, security, and surveillance technologies. In a general
based context, the users within the mobile computing technologies would be able to select the
form of devices and thus would be able to create different forms of content.
In the recent times, there has also been a major form of a rise in the cloud storage
platforms in relation to the cloud computing technologies (Jararweh et al., 2013). In the recent

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times, the use of cloud-based storage is majorly been useful for serving different types of
purposes such as bulk storage, backup of data, sharing of files and many others.
2.2 Vehicle Communication
The vehicle communication or vehicle-to-vehicle communication (V2V) could be defined
as the wireless form of transmission of a vast form of data between the motor vehicles. The
primary objective of vehicle communication is based on the prevention of accidents (Cheng et
al., 2013). This would be made to be possible with the help of vehicles to be put in transit. These
vehicles would then be able to send their respective position and thus speed up the data with one
another based on an ad hoc mesh form of network. The driver of the vehicle would be able to
receive a warning message in some cases of accidents. This would thus depend on the kind of
technology. Hence the vehicle would be able to make different forms of predictive measures
based on the actions such as slowing down of the vehicles or form a braking system (Tang et al.,
2014).
The V2V method of communications would be comprised of a wireless network topology
in which the automobiles would be able to send, receive and thus exchange vital messages within
each other. The data would be widely get collected and this data would include the vast forms of
information such as the location, speed, direction of travel of the vehicle, loss of stability and
braking systems (Abbas, Karedal & Tufvesson, 2013). The V2V systems could also be in the
form of a mesh network. This form of the network would be able to send the data, capture them
and thus be able to retransmit them over a wide form of network.
There is a major form of a roadblock during the implementation of V2V based methods
of communication and intelligent forms of transport based systems (Dressler et al., 2014). The
different kinds of a roadblock to the use of this form of technology include the need for the

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automotive manufacturers to agree upon different forms of standards based on road
communication rules. They would also have to account on the issue of the privacy of the data of
the drivers, take care of the raised concerns and maintain a clear form of funding.
2.3 Impact of Mobile Computing and Vehicle Communication
The vehicular based networks have helped in gaining a vast form of attraction in the
recent times. In the recent times, it has been noticed that the vehicular-based communication
have helped in the gaining of information from anywhere in the world. The use of vehicle
communication has thus helped in the increase form of efficiency within the networks.
These kinds of mobile-based networks have helped in the characterizing of the strong
form of mobility. There has been a high dynamicity within the vehicles (Jo et al., 2015). The use
of mobile computing within these kinds of technologies have also been helpful for increasing the
efficiency within the processes of work. The different forms of mobile-based networks have
helped in the increasing of affecting the performance and the various forms of feasibility within
the vehicular applications (Whaiduzzaman et al., 2014). There have been major forms of
research within the field of mobile computing and vehicle communication technologies. Both of
these technologies have mostly collaborated with the use of different forms of improved kinds of
technologies. These technologies have extremely helped in improving the different kinds of
works of study within the sector (Batabyal & Bhaumik, 2015).
With the increasing form of wireless-based methods of computing there have been major
forms of changes in the wireless forms of connections. The field of vehicles and the different
forms of mobile-based communications have majorly helped in the different forms of
technologies such as the improvement of the traffic safety, efficiency and the security of the
devices. The rise of mobile computing technologies such as the advent of Bluetooth technologies

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has also impacted the sector. These form of mobile computing technologies such as Bluetooth,
Wi-Fi and other forms of wireless technologies have also helped in the impact of the sector
(Bitam, Mellouk & Zeadally, 2015).
3. Conclusion
Based on the discussion from the above report, it could be concluded that the different
forms of services by the use of these forms of devices would be helpful for the future forms of
work based on this topic. The different forms of services offered by the integration of mobile
computing and vehicle communication technology could be used for influencing the congestion
of the network. The use of mobile computing technology would be helpful for analyzing the
different forms of influences of the connectivity of these forms of devices. The different forms of
connectivity would have a linear form of relationship with the factor of serviceability. The
process of mobility could be measured with the use of a proper form of analysis and prediction
of the form of serviceability. Based on the current forms of understanding of the research on the
article, it could be understood that there would be severe forms of improvements within the
sector. Hence it could be concluded that these forms of technologies should be improved by
providing new kinds of implementation based on the technological prospects.
4. Recommendation
Based on the insights gained from the above report, it could be suggested that there could
be several forms of improvements within the sector. This form of use of the advanced methods
of communication would be able to improve the richness of the gathering of information. This
research helps in gathering various forms of insights within the communication and the different
forms of network-based topologies. The different contributions of the mobile computing and the
vehicular communication technology are being discussed in this article. This research also

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focuses on the broader form of impact on the use of these form of technologies. The conclusions
gathered from the above report help in suggesting that the various forms of impact within the
sector would be helpful for the growth of the technologies. With the impact of mobile computing
technologies, there has been a major form of competency on the growth of wireless based
technologies. The wide range of communication technologies that includes satellites, cellular,
WiMAX, RDS would be helpful for some of the common form of applications within the sector.
With the impact of these form of services, there would be a real-time analysis of the systems and
the various processes within the system. Hence it could be discussed that the rise of these forms
of communications would help in the rise of these form of devices and would thus be able to
guide the people in making the full use of these form of technologies for improving the quality of
life.

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5. References
Abbas, T., Karedal, J., & Tufvesson, F. (2013). Measurement-based analysis: The effect of
complementary antennas and diversity on vehicle-to-vehicle communication. IEEE
Antennas and Wireless Propagation Letters, 12, 309-312.
Batabyal, S., & Bhaumik, P. (2015). Mobility models, traces and impact of mobility on
opportunistic routing algorithms: A survey. IEEE Communications Surveys &
Tutorials, 17(3), 1679-1707.
Bitam, S., Mellouk, A., & Zeadally, S. (2015). VANET-cloud: a generic cloud computing model
for vehicular Ad Hoc networks. IEEE Wireless Communications, 22(1), 96-102.
Cheng, X., Yao, Q., Wen, M., Wang, C. X., Song, L. Y., & Jiao, B. L. (2013). Wideband channel
modeling and intercarrier interference cancellation for vehicle-to-vehicle communication
systems. IEEE Journal on Selected Areas in Communications, 31(9), 434-448.
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013). A survey of mobile cloud computing:
architecture, applications, and approaches. Wireless communications and mobile
computing, 13(18), 1587-1611.
Dressler, F., Hartenstein, H., Altintas, O., & Tonguz, O. (2014). Inter-vehicle communication:
Quo vadis. IEEE Communications Magazine, 52(6), 170-177.
Gikas, J., & Grant, M. M. (2013). Mobile computing devices in higher education: Student
perspectives on learning with cellphones, smartphones & social media. The Internet and
Higher Education, 19, 18-26.

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Jararweh, Y., Tawalbeh, L., Ababneh, F., & Dosari, F. (2013, December). Resource efficient
mobile computing using cloudlet infrastructure. In Mobile Ad-hoc and Sensor Networks
(MSN), 2013 IEEE Ninth International Conference on (pp. 373-377). IEEE.
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heterogeneous radio access network architecture for mobile cloud computing. IEEE
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Suo, H., Liu, Z., Wan, J., & Zhou, K. (2013, July). Security and privacy in mobile cloud
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Tang, T., Shi, W., Shang, H., & Wang, Y. (2014). A new car-following model with consideration
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Wang, C., Li, Y., Jin, D., & Chen, S. (2016). On the serviceability of mobile vehicular cloudlets
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Whaiduzzaman, M., Sookhak, M., Gani, A., & Buyya, R. (2014). A survey on vehicular cloud
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