MN603 Wireless Networks And Security

Answers:

1.

Strengths and Weaknesses of Yagi, Horn Cellular and New Digital Antennas

Several benefits of Yagi uda antenna are:

Several disadvantages of the Yagi uda antenna are:

Several benefits of horn antenna are:

Several disadvantages of horn antenna are:

iii) Cellular Antenna: The third type of network is the cellular antenna. This specific wireless network is eventually distributed in the land areas. All the wireless networks on the land are called cells. These cells are thus served by the transceivers. It is utilized as mobile phone networks (Deng, Zhou & Haenggi, 2015).

Several benefits of cellular antenna are:

Several disadvantages of cellular antenna are:

The particular dominant player for long distance wireless networks is cellular antennas (Zappone & Jorswieck, 2015). It is highly portable and hence could be utilized by all users. The installation of this antenna is also easier.

2.

Three Different Wireless Network Protocols with Strengths and Weaknesses

The three different wireless network protocols with their various advantages and disadvantages are as follows:

Several benefits of Bluetooth technology are:

Several disadvantages of Bluetooth technology are:

The basic security challenge of Bluetooth technology is that there is absolutely no security to data. Often the hackers get a chance to hack the data easily.

Several benefits of Wi-Fi are:

Several disadvantages of Wi-Fi are:

There is only one important security issue in Wi-Fi and that is that there is no security to the data to be transferred. Hence, the solution is using passwords.

iii) LTE: LTE or Long Term Evolution is the third specific protocol that provides high speed. This network is wireless and is utilized for the mobile devices. The terminals of data are on the basis of GSM and EDGE technologies.

Several benefits of LTE are:

Several disadvantages of LTE are:

The lack of authorization as well as authentication is the only important security challenge of long term evolution (Deng, Zhou & Haenggi, 2015). However, encryption helps in this case.

3.

Reflection of Article 1: “An Architecture for Software Defined Wireless Networking”

Software defined wireless networking helps in the effective and efficient configuration of networks. The network performance and monitoring and easily improvised by this type of networking. Software defined networking helps in addressing the static architecture (Bernardos et al., 2014). Moreover the centralized network intelligence is possible by this type of networking. The deployment of new services is much easier only when the several virtualization aspects are being enabled. Due to the centralization of the network intelligence, the disconnection or disassociation of the data plane from the control plane eventually occurs. This is termed as the forward process of this data plane.

Two specific types of architectures are being discussed in the article. The first and the foremost architecture is SDN referral architecture. In this particular architecture, the centralized intelligence is based on software and thus it allows controlling the devices. The network management is centralized with the help of CAPWAP protocols (Bernardos et al., 2014). The next SDN architecture is the SDWN architecture. A better interface is provided to make the functions of control plane work. Network traffic handling is extremely easier with this architecture.

Reflection of Article 2: “Software Defined Wireless Networks: A Survey of Issues and Solutions”

The entire architecture of SDN is responsible for making this network extremely agile or flexible. It could easily control the network by enabling and allowing the service providers for the response of the network with much efficiency (Rangisetti & Tamma, 2017). The requirements are also changed and the controller of SDN directs the switches for the successful delivery of networking services. These networking services are delivered only when the service or the device are not connected. Several issues are present for handling the network traffic and MNO or mobile network operator makes this network even simpler.

After the disassociation of control and data plane, the mobile network of LTE gets implemented by the networking services. The network function virtualization or NFVs handle the control signals with better efficiency (Rangisetti & Tamma, 2017). Apart from this feature, NFV makes the network platforms more adaptable and flexible by removing the pre existing middle boxes. The few issues with the significant solutions are provided within the article.

References

Ali-Ahmad, H., Cicconetti, C., De la Oliva, A., Mancuso, V., Sama, M. R., Seite, P., & Shanmugalingam, S. (2013, November). An SDN-based network architecture for extremely dense wireless networks. In Future Networks and Services (SDN4FNS), 2013 IEEE SDN for (pp. 1-7). IEEE.

Bernardos, C. J., De La Oliva, A., Serrano, P., Banchs, A., Contreras, L. M., Jin, H., & Zúñiga, J. C. (2014). An architecture for software defined wireless networking. IEEE wireless communications, 21(3), 52-61.

Deng, N., Zhou, W., & Haenggi, M. (2015). The Ginibre Point Process as a Model for Wireless Networks With Repulsion. IEEE Trans. Wireless Communications, 14(1), 107-121.

Kumar, A. K., Sivalingam, K. M., & Kumar, A. (2013). On reducing delay in mobile data collection based wireless sensor networks. Wireless networks, 19(3), 285-299.

Lei, L., Zhong, Z., Zheng, K., Chen, J., & Meng, H. (2013). Challenges on wireless heterogeneous networks for mobile cloud computing. IEEE Wireless Communications, 20(3), 34-44.

Rangisetti, A. K., & Tamma, B. R. (2017). Software Defined Wireless Networks: A Survey of Issues and Solutions. Wireless Personal Communications, 97(4), 6019-6053.

Rao, P. S., Jana, P. K., & Banka, H. (2017). A particle swarm optimization based energy efficient cluster head selection algorithm for wireless sensor networks. Wireless networks, 23(7), 2005-2020.

Shi, H., Prasad, R. V., Onur, E., & Niemegeers, I. G. M. M. (2014). Fairness in wireless networks: Issues, measures and challenges. IEEE Communications Surveys & Tutorials, 16(1), 5-24.

Zappone, A., & Jorswieck, E. (2015). Energy efficiency in wireless networks via fractional programming theory. Foundations and Trends® in Communications and Information Theory, 11(3-4), 185-396.

Zhao, N., Yu, F. R., Li, M., Yan, Q., & Leung, V. C. (2016). Physical layer security issues in interference-alignment-based wireless networks. IEEE Communications Magazine, 54(8), 162-168.