Following are the significant strengths of this Yagi antenna:
Following are the significant weaknesses of this Yagi antenna:
Following are the significant strengths of this horn antenna:
Following are the significant weakness of this horn antenna:
iii) Cellular Antenna: This type of antenna is completely wireless and is responsible for providing better network quality to the mobile phone users (Yang et al., 2013). This type is antenna is eventually distributed on the land areas and is termed as cell.
Following are the significant strengths of this cellular antenna:
Following are the significant weaknesses of this cellular antenna:
The future dominant player for long and medium wireless network will be cellular network. This is mainly because the technology is growing gradually and soon it will be acquiring the entire network world with its benefits.
The three wireless network protocols are as follows:
Following are the significant strengths of this LTE:
Following are the significant weaknesses of this LTE:
The most important security challenge for LTE is lack of authentication. The data is often hacked by the attackers and for this challenge, cipher algorithm is being implemented.
Following are the significant strengths of this Bluetooth:
Following are the significant weaknesses of Bluetooth:
The security challenge of Bluetooth is the lack of data security. Thus, it is often avoided for confidential data. Short range is another issue here.
iii) WiFi: The third wireless protocol is WiFi. Wireless fidelity provides network to the users is a wide range. It is used in offices, schools and colleges (Yang et al., 2013). There is an inbuilt interoperability testing present.
Following are the strengths of WiFi:
Following are the weaknesses of WiFi:
The security issue here is the lack of data security (Xie & Zhang, 2014). Hence, passwords are utilized here and are changed in a given period.
SDN provides proper network management and helps to configure the network efficiently. The network performance is improved with software defined wireless networking (Bernardos et al., 2014). Two types of architectures are discussed in this article. They are the SDN referred architecture and SDWN architecture.
The disassociation of data plane from control plane is being forwarded by SDN. The SDN referred architecture describes that centralized intelligence within controller is software based and can control the devices (Bernardos et al., 2014). The protocol of CAPWAP completes the process. The SDWN architecture provides better interfaces for the functions of control plane and traffic handing is easier.
Reflection of Paper 2: “Software Defined Wireless Networks: A Survey of Issues and Solutions”
SDN is responsible for making wireless network agile as well as flexible. The control of network is improvised by enabling the service provider for responding much faster (Rangisetti & Tamma, 2017). SDN controller can direct the switches and hence network services are delivered to those places, where network connection between devices and services are absent. MNO can handle the various challenges for traffic handling and thus controlling becomes simple.
The mobile network of LTE is implemented when data and control planes are separated. Network function virtualizations or NFV could easily handle the control signals and the traffics are controlled with effectiveness (Rangisetti & Tamma, 2017). Flexibility, scalability and adaptability are obtained in the network platform after replacing the inflexible middle box. MEC or mobile edge computing are responsible for combining IT and cloud computing. The few issues with frequency are discussed here with solutions.
References
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.
Jiang, D., Xu, Z., & Lv, Z. (2016). A multicast delivery approach with minimum energy consumption for wireless multi-hop networks. Telecommunication systems, 62(4), 771-782.
Rangisetti, A. K., & Tamma, B. R. (2017). Software Defined Wireless Networks: A Survey of Issues and Solutions. Wireless Personal Communications, 97(4), 6019-6053.
Shen, W., Zhang, T., Gidlund, M., & Dobslaw, F. (2013). SAS-TDMA: A source aware scheduling algorithm for real-time communication in industrial wireless sensor networks. Wireless networks, 19(6), 1155-1170.
Xie, X., & Zhang, X. (2014, April). Does full-duplex double the capacity of wireless networks?. In INFOCOM (pp. 253-261).
Yang, J., Chen, Y., Trappe, W., & Cheng, J. (2013). Detection and localization of multiple spoofing attackers in wireless networks. IEEE Transactions on Parallel and Distributed systems, 24(1), 44-58.
Zhang, W., Wen, Y., Chen, Z., & Khisti, A. (2013). QoE-driven cache management for HTTP adaptive bit rate streaming over wireless networks. IEEE Transactions on Multimedia, 15(6), 1431-1445.
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.
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