Emerging Technologies: Wireless Networks

This article discusses the latest research and advancements in wireless networks, specifically focusing on software-defined wireless networking (SDWN) and its potential benefits. The article also covers the challenges and opportunities associated with integrating wireless networks with the Internet of Things (IoT) and the use of matching theory for resource allocation. Additionally, the article explores the use of SDN in wireless sensor networks and the potential for energy-saving strategies in wireless access networks. Desklib's online library provides access to solved assignments, essays, and dissertations on these emerging technologies in wireless networks.

Running head: EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Emerging technologies: Wireless Networks
Name of the Student
Name of the University
Authors Note

1EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Table of Contents
Task A........................................................................................................................................2
Reference 1.................................................................................................................2
Reference 2.................................................................................................................2
Reference 3.................................................................................................................3
Reference 4.................................................................................................................4
Reference 5.................................................................................................................5
Reference 6.................................................................................................................5
Reference 7.................................................................................................................6
Reference 8.................................................................................................................7
Reference 9.................................................................................................................8
Reference 10...............................................................................................................8
Reference 11...............................................................................................................9
Reference 12...............................................................................................................9
Task B......................................................................................................................................10
References................................................................................................................................11

2EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Task A
Reference 1
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.
In this paper the authors discussed the future trends in the wireless networks through
the use of the SDN (software defined network) and SDWN (software defined wireless
networking). The paper also contributes to the discussion of the lack of virtualization in the
present architecture. The current deployed architecture supports virtualization of the
resources and network layers up to some extent whereas the used networking mechanisms
and devices are not designed by keeping in mind to support dynamic reconfiguration by the
administrators which is necessary in efficient and timely sharing of resources.
According to the authors standardization and implementation of the SDWN
architecture can SDWN bring the benefits of logical arrangement in multiple layers by
enabling well defined interfaces to organize the control plane functionalities. In addition to
that, the implementation of SDWN will enable the network with the richer flexibility in
handling data traffic at the user plane.
Reference 2
Abolhasan, M., Lipman, J., Ni, W., & Hagelstein, B. (2015). Software-defined wireless
networking: centralized, distributed, or hybrid?. IEEE Network, 29(4), 32-38.
In their paper the authors, Abolhasan, Lipman and Hagelstein identified that the most
common issue with the large scale WDNs (wireless distributed networks) is scalability. Thus
the paper proposes a new network architecture that introduces the architecture that eliminates

3EMERGING TECHNOLOGIES: WIRELESS NETWORKS
the requirement of multi-hop flooding for route discovery in order to deliver the data packets
inside the network. In this way this architecture thereby helping the wireless distributed
networks to scale according to the requirement of the network administrator or the
organization that owns in the network.
Use of the hybrid SDN for the wireless distributed networks also helps in the reduction in
the overhead up to a significant amount in case of the mobile networks deployed with the
hybrid architecture. The reason behind this can be stated as the new architecture splits the
data forwarding and control layer into two distinct frequency bands.
Reference 3
Gu, Y., Saad, W., Bennis, M., Debbah, M., & Han, Z. (2015). Matching theory for
future wireless networks: fundamentals and applications. IEEE Communications
Magazine, 53(5), 52-59.
This paper contributes to the management of the scarce network resources through
the use of efficient architecture (spectral resources). The paper provides solutions to cope
with the scarce spectral resources which is always the prevalent theme in wireless networks.
In order to manage the scarce resources with optimized utilization of the spectrums. In order
to achieve this the authors suggested to use the matching theory.
The matching theory has emerged as one of the best techniques that can be used for
the resource allocation in the wireless networks. This theory is considered as most promising
in the which is able to overcome the restrictions of optimization using the game theory in the
resource allocation process in the wireless networks.

4EMERGING TECHNOLOGIES: WIRELESS NETWORKS
This framework also provides the capability in order to define wide-ranging
“preferences” in the network which can handle complex as well as heterogeneous
considerations associated to QoS (qualityof- service). Through the use of the matching
theory it provides suitable solutions for resources management, in terms of optimality and
stability in order to meet and reflect system objectives.
Reference 4
Lin, H. H., Tsai, H. Y., Chan, T. C., Huang, Y. S., Chu, Y. S., Chen, Y. C., ... & Lee, H.
C. (2015, May). An open-source wireless mesh networking module for
environmental monitoring. In Instrumentation and Measurement Technology
Conference (I2MTC), 2015 IEEE International (pp. 1002-1007). IEEE.
In this paper, the authors described the way wireless mess networks are used in
collecting data from low powered radio transceivers distributed over wide range of area to
collect environmental data for monitoring. The paper also discusses the network module is
that integrates the routing control, network discovery and data packet transmission scheduling
that is helpful in the automatic collection of environmental data. As the wireless mesh
networks is not constrained by the use of cable for data transmission.
The paper mainly concentrates on the issues related to the wireless network that is
developed including the sensors which mainly operates using the proprietary software whose
source codes are not publically available thus in case of any issues in the network it becomes
difficult to the network designer to determine the topology.
The authors proposed a design and implementation of a prototype for wireless mesh
network along with the implementation and evaluation of the prototype module. In addition

5EMERGING TECHNOLOGIES: WIRELESS NETWORKS
to that, they also observed that the sensor networks worked fine with the switching process
between the parent nodes according to the environmental changes.
Reference 5
Sood, K., Yu, S., & Xiang, Y. (2016). Software-defined wireless networking
opportunities and challenges for Internet-of-Things: A review. IEEE Internet of
Things Journal, 3(4), 453-463.
In this paper the authors described the advantage as well as challenges in the
integration of the IoT (internet of Things) and wireless software defined networks.
According to the authors, with the use of software defined wireless networks that helps in the
intelligent routing of the data traffic in a specific network; along with that this network also
helps in utilization of underutilized resources in the wireless network. In this way the SDN
significantly improves the ability of the specific network.
The integration of the IoT and the wireless network also supports in providing
visibility of the network resources as well as management of those resources. Moreover, the
infrastructure also supports in the management user access level according to the priority.
Furthermore, it also supports device, group and application which enables the network and
IoT devices to exchange data among them.
Reference 6
Rawat, D. B., & Reddy, S. (2016, March). Recent advances on software defined wireless
networking. In SoutheastCon, 2016(pp. 1-8). IEEE.

6EMERGING TECHNOLOGIES: WIRELESS NETWORKS
The authors of the above mentioned journal the advancements on SDN or software
defined networks which is emerging to support the wireless networks. Use of the SDN in the
wireless network architecture development provides flexibility to the networks while
maintain the same level of performance using the existing components.
The authors stated that, use of the traditional network models are makes the complete
network a vendor specific. In this way the networks lack of flexibility as the network along
with the networking devices considered as a bundled complete package. In addition to that,
in case of utilization of this bundled networks with enormous applications leads to huge
amount of cost overhead for the organizations.
Reference 7
De Gante, A., Aslan, M., & Matrawy, A. (2014, June). Smart wireless sensor network
management based on software-defined networking. In Communications
(QBSC), 2014 27th Biennial Symposium on (pp. 71-75). IEEE.
In this paper the authors described the use of the SDN in WSN or wireless sensor
networks that helps in making the network more robust and fault tolerant. As discussed in
the paper the main primary issues related to the wireless networks of sensors are limitation of
memory, processing power, communication capabilities and energy to operate.
This flaw can be easily addressed by smart management of scarce resources. In case
of Ad hoc networks every node inside the network have its part in the decentralized routing
of the data packets in order to forward them towards other nodes in network. Therefore it
can be said that the decision in the network about which node is going to forward data
packets is made dynamically and depending on the connectivity.

7EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Reference 8
Araniti, G., Cosmas, J., Iera, A., Molinaro, A., Morabito, R., & Orsino, A. (2014, June).
OpenFlow over wireless networks: Performance analysis. In Broadband
Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International
Symposium on(pp. 1-5). IEEE.
This paper contributes to the discussion about the use of software defined network in
the wireless network architecture and a specific component OpenFlow that describes the
communication between the controller plane and the devices inside the network. OpenFlow
model characterizes a protocol that helps in allowing the software applications inside the
network in order to manage and configure the flow tables of the data packets among different
network switches.
On the contrary of the traditional routing approach the OpenFlow protocol approach,
involves a controller which maintains a general outline of the connected networks. The
controller on the other hand is directly connected with two switches. one of which is
connected to access point of the network (as the OpenFlow switch and the access point are
united as a single logical entity, creating OpenFlow Access Point) and the second one is
connected with the residual part of the network. With the detailed discussion in the
architecture of SDN and OpenFlow.

8EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Reference 9
Jagadeesan, N. A., & Krishnamachari, B. (2015). Software-defined networking
paradigms in wireless networks: A survey. ACM Computing Surveys
(CSUR), 47(2), 27.
This paper contains discussion about the history and development of the SDN in the
wireless network architecture. According to the authors, the SDN mainly depends on the two
properties which are data and control plane separation and the second one is control plane is
responsible for all the operations. The choices about the how to handle packet data are
detached from the operations that carry out those decisions. This is known as control and data
plane separation in the network. The data and control planes in SDN interacts with each other
using a well-defined API (OpenFlow).
Reference 10
Hongyu, P., Weidong, W., Chaowei, W., Gang, C., & Yinghai, Z. (2015). A SDN-based
energy saving strategy in wireless access networks. China Communications, 12(8),
132-145.
This paper investigated for better and energy efficient approach to manage the base
stations by controlling the sleeping control with better configuration. The authors stated that
in order make the network more energy efficient it is important to increase the number of
base stations as well as reducing the transmit power for downlinks. In this way the QoS
requirements can be met using the proper techniques with lesser amount of energy
consumption.
The paper mainly contributes to the transmission of the video transmission using the
dynamic base station switching and PSESA-MinAir in order to reduce the BS transmitting
time and BS energy consumption.

9EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Reference 11
Chaudet, C., & Haddad, Y. (2013, October). Wireless software defined networks:
Challenges and opportunities. In Microwaves, Communications, Antennas and
Electronics Systems (COMCAS), 2013 IEEE International Conference on(pp. 1-5).
IEEE.
The paper contributes to the challenges and opportunities that are available in the
wireless network implementation using the SDN architecture. Techniques like the multi-
channel routing, clustering of the nodes as well as cognitive networking are considered as
helpful in order to enhance the scalability of wireless distributed networks. Use of the SDn
architecture asks the network elements to report their status at a given instant. This reporting
process from the elements is considered as the key component that allows controllers to take
autonomous decisions for data packet routing.
Reference 12
De Oliveira, B. T., Gabriel, L. B., & Margi, C. B. (2015). TinySDN: Enabling multiple
controllers for software-defined wireless sensor networks. IEEE Latin America
Transactions, 13(11), 3690-3696.
In this paper the authors discussed about the use of the TinySDN which is powered
by the TinyOS in the SDN framework which enables the network to use multiple controllers.
Use of the TinySDN is helpful in the reducing the communication latency, improved energy
supply to the nodes and increased link layer frames.
The authors of the journal provide detailed analysis of the experiments using the CTP
and TinySDN from which they concluded that TinySD considerably improves the scenario
related to the latency in the communication of data packets.

10EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Task B
After checking and critically evaluating the originality report of 800 words of my
content on turnitin, I found that there is 20% of plagiarism in it and all of the plagiarism is
detected in the reference list of the annotated bibliography. The reason behind this can be
stated as, many people may have used this references in their papers with the same APA
referencing format thus we can say that the content part is completely original. Therefore, I
can state that the with the help of the ideas conveyed by the different authors in their papers
we have evaluated them using different perspectives in this process.

11EMERGING TECHNOLOGIES: WIRELESS NETWORKS
References
Abolhasan, M., Lipman, J., Ni, W., & Hagelstein, B. (2015). Software-defined wireless
networking: centralized, distributed, or hybrid?. IEEE Network, 29(4), 32-38.
Araniti, G., Cosmas, J., Iera, A., Molinaro, A., Morabito, R., & Orsino, A. (2014, June).
OpenFlow over wireless networks: Performance analysis. In Broadband Multimedia
Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on(pp. 1-5).
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.
Chaudet, C., & Haddad, Y. (2013, October). Wireless software defined networks: Challenges
and opportunities. In Microwaves, Communications, Antennas and Electronics
Systems (COMCAS), 2013 IEEE International Conference on(pp. 1-5). IEEE.
De Gante, A., Aslan, M., & Matrawy, A. (2014, June). Smart wireless sensor network
management based on software-defined networking. In Communications (QBSC),
2014 27th Biennial Symposium on (pp. 71-75). IEEE.
De Oliveira, B. T., Gabriel, L. B., & Margi, C. B. (2015). TinySDN: Enabling multiple
controllers for software-defined wireless sensor networks. IEEE Latin America
Transactions, 13(11), 3690-3696.
Gu, Y., Saad, W., Bennis, M., Debbah, M., & Han, Z. (2015). Matching theory for future
wireless networks: fundamentals and applications. IEEE Communications
Magazine, 53(5), 52-59.

12EMERGING TECHNOLOGIES: WIRELESS NETWORKS
Hongyu, P., Weidong, W., Chaowei, W., Gang, C., & Yinghai, Z. (2015). A SDN-based
energy saving strategy in wireless access networks. China Communications, 12(8),
132-145.
Jagadeesan, N. A., & Krishnamachari, B. (2015). Software-defined networking paradigms in
wireless networks: A survey. ACM Computing Surveys (CSUR), 47(2), 27.
Lin, H. H., Tsai, H. Y., Chan, T. C., Huang, Y. S., Chu, Y. S., Chen, Y. C., ... & Lee, H. C.
(2015, May). An open-source wireless mesh networking module for environmental
monitoring. In Instrumentation and Measurement Technology Conference (I2MTC),
2015 IEEE International (pp. 1002-1007). IEEE.
Rawat, D. B., & Reddy, S. (2016, March). Recent advances on software defined wireless
networking. In SoutheastCon, 2016(pp. 1-8). IEEE.
Sood, K., Yu, S., & Xiang, Y. (2016). Software-defined wireless networking opportunities
and challenges for Internet-of-Things: A review. IEEE Internet of Things
Journal, 3(4), 453-463.

13EMERGING TECHNOLOGIES: WIRELESS NETWORKS