Mobile Computing And Vehicle Communication: A Brief Analysis

Topic Mobile computing and Vehicle communication.

Final Blog Entry and Evaluation of the Value of the Project Documentation 
1. The purpose of this assessment is to produce a discussion that will be supported by and include your literature review with references from respected sources from Assessment Item.

A Brief Analysis of Mobile Computing and Vehicle Communication

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.  

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 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.

1.1 Mobile Computing

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 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.

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 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.  

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).

1.2 Vehicle Communication

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 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).

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.

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 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.

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.

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.

Jo, M., Maksymyuk, T., Strykhalyuk, B., & Cho, C. H. (2015). Device-to-device-based heterogeneous radio access network architecture for mobile cloud computing. IEEE Wireless Communications, 22(3), 50-58.

Suo, H., Liu, Z., Wan, J., & Zhou, K. (2013, July). Security and privacy in mobile cloud computing. In Wireless Communications and Mobile Computing Conference (IWCMC), 2013 9th International (pp. 655-659). IEEE.

Tang, T., Shi, W., Shang, H., & Wang, Y. (2014). A new car-following model with consideration of inter-vehicle communication. Nonlinear dynamics, 76(4), 2017-2023.

Trusiewicz, P., & Legierski, J. (2013, September). Parking Reservation-application dedicated for car users based on telecommunications APIs. In Computer Science and Information Systems (FedCSIS), 2013 Federated Conference on (pp. 865-869). IEEE.

Wang, C., Li, Y., Jin, D., & Chen, S. (2016). On the serviceability of mobile vehicular cloudlets in a large-scale urban environment. IEEE Transactions on Intelligent Transportation Systems, 17(10), 2960-2970.

Whaiduzzaman, M., Sookhak, M., Gani, A., & Buyya, R. (2014). A survey on vehicular cloud computing. Journal of Network and Computer Applications, 40, 325-344.