scholarly journals A Review on Forwarding Strategies in NDN based Vehicular Networks

2021 ◽  
Vol 9 (2) ◽  
pp. 339-356
Author(s):  
Dependra Dhakal ◽  
Arpan Gautam ◽  
Sudipta Dey ◽  
Kalpana Sharma
Keyword(s):  
Wireless Network ◽  
Network Topology ◽  
Fast Moving ◽  
Vehicular Networks ◽  
Current Problem ◽  
Research Work ◽  
Named Data Networking ◽  
Forwarding Strategy ◽  
Optimum Solution ◽  
Vehicle Network

Named Data Networking (NDN) is a model that has been proposed by many researchers to alter the long-established IP based networking model. It derives the content centric approach rather than host-based approach. This is gaining even more traction in the wireless network and is able to replace the conventional IP-based networking. Up to now, NDN has proven to be fruitful when used with certain limitations in vehicular networks. Vehicular networks deal with exchanging information across fast moving complex vehicle network topology. The sending and receiving of information in such a scenario acts as a challenge and thus requires an effective forwarding strategy to address this problem. Different research work has provided with multiple forwarding strategy that solves the current problem up to some limit but further research work is still longed for to get an optimum solution. This paper provides a brief survey on current existing forwarding strategies related to vehicular networks using NDN as well as providing information on various resources and technologies used in it.

Wireless Network Topology Control: Adjustable Resiliency and Network Traffic Delivery

2021 ◽  
Author(s):  
Joseph P. Macker ◽  
Caleb Bowers ◽  
Sastry Kompella ◽  
Clement Kam ◽  
Jeffery W. Weston
Keyword(s):  
Wireless Network ◽  
Network Topology ◽  
Network Traffic ◽  
Topology Control

A Novel Call Admission Control Algorithm for Next Generation Wireless Mobile Communication

2017 ◽  
Vol 4 (3) ◽  
pp. 83-95
Author(s):  
T. A. Chavan ◽  
P. Saras
Keyword(s):  
Wireless Network ◽  
Research Work ◽  
Service Level Agreement ◽  
Priority Queue ◽  
Service Level ◽  
Next Generation ◽  
Handoff Call ◽  
Call Acceptance ◽  
Customer Services ◽  
Wireless Mobile Communication

Wireless communication technology is progressing very vastly. With this change in technology customer services for multimedia and non-multimedia are increasing day by day. But due to limited resources of the wireless network, we need to design an efficient CAC algorithm to enhance QoS levels for end users. The Quality of service (QoS) enhancement in the wireless network is related to making an efficient use of current network resources and the optimization of the users. Call acceptance in CAC is one of the challenge in mobile cellular networks to ensure that the acceptance of a new call into a resource limited wireless network should not deviate the service level Agreement (SLAs) at the time of conversations. In the next generation wireless network, CAC has the direct impact on QoS for user calls & overall system performance. To handle handoff calls and new calls in cellular network channel reservation scheme have been already proposed to reserve system bandwidth for higher priority call for CAC. This earlier proposed scheme is not as per the required level of satisfaction because the available reversed bandwidth is not allocated properly in case of least handoff rate. In this, the authors like to present a new channel borrowing scheme where new non real time (NRT) calls can make use of reserved channels. It can borrow this reserved channel on a temporary basis and after this immediately if any handoff call enters the current cell and no any other channels are available, then it will pre-empt the channel from an earlier borrowed NRT user if exists. This pre-empted NRT call is kept in the priority queue to consider its service when any channel becomes free. The number of NRT calls in the queue should not be large to avoid delayed service. The fundamental objective of the proposed scheme to design of the system for evaluating the results and comparing with the results of the existing system. From the results of current research work, it is observed that proposed scheme decreases call dropping probability which increase slightly in call blocking rate over high-density handoff call rate.

Named Data Networking for Software Defined Vehicular Networks

2017 ◽  
Vol 55 (8) ◽  
pp. 60-66 ◽  
Author(s):  
Syed Hassan Ahmed ◽  
Safdar Hussain Bouk ◽  
Dongkyun Kim ◽  
Danda B. Rawat ◽  
Houbing Song
Keyword(s):  
Vehicular Networks ◽  
Named Data Networking ◽  
Data Networking

scholarly journals Black Hole Attacks on MANETs: Analysis and Prevention

2022 ◽  
pp. 17-23
Author(s):  
Arudra Annepu ◽  
◽  
Priti Mishra ◽  
Keyword(s):  
Black Hole ◽  
Wireless Network ◽  
Ad Hoc ◽  
Research Work ◽  
Network Simulator ◽  
Radio Waves ◽  
Mobile Nodes ◽  
Data Packets ◽  
Reactive Routing ◽  
Wireless Medium

Wireless network technically, refers to the category of network in which communication is carried out without using wires. In modern era wireless network has great importance because the communication is taking place with the use of radio waves. Thus, the use of ad-hoc network starts yielding a great importance in variety of applications. The certain research work is carried out in this particular field. MANET is a constructed from various mobility in the form of mobile nodes and anytime without any need of fixed infrastructure. MANET can be made on fly due to lack of fixed infrastructure. MANET is numerous threats types of attacks due to dynamic changing topologies and wireless medium. Security of the MANET becomes one of the challenging tasks. Black hole attacks is the main type of attack that are possible in MANET. Black hole node not forward any data packets to the neighbour node instead it drops all the data packets. Black hole attacks are bit hard to detect due to lack of centralized access. This research work concentrates to enhance the security of MANET by identifying and blocking black hole assaults from occurring. A reactive routing system such as Ad-Hoc on Demand Distance Vector has previously been used to address security problems in the MANET (AODV). Various attack types were investigated, and the consequences of these assaults were detailed by describing how MANET performance was disrupted. Network Simulator 3 (NS3) is used for the simulation process.

scholarly journals SDN-based Handover Scheme in Cellular/IEEE 802.11p Hybrid Vehicular Networks

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1082 ◽  
Author(s):  
Ran Duo ◽  
Celimuge Wu ◽  
Tsutomu Yoshinaga ◽  
Jiefang Zhang ◽  
Yusheng Ji
Keyword(s):  
Network Topology ◽  
Network Performance ◽  
Vehicular Networks ◽  
Ieee 802.11P ◽  
Centralized Control ◽  
Topology Changes ◽  
Dynamic Topology ◽  
Stable Transmission ◽  
Transmission Layer ◽  
Handover Scheme

With the arrival of 5G, the wireless network will be provided with abundant spectrum resources, massive data transmissions and low latency communications, which makes Vehicle-to-Everything applications possible. However, VANETs always accompany with frequent network topology changes due to the highly mobile feature of vehicles. As a result, the network performance will be affected by the frequent handover. In this paper, a seamless handover scheme is proposed where the Software-Defined Networking (SDN) and Mobile Edge Computing (MEC) technologies are employed to adapt to the dynamic topology change in VANETs. The introduction of SDN provides a global view of network topology and centralized control, which enables a stable transmission layer connection when a handover takes place, so that the upper layer performance is not influenced by the network changes. By employing MEC server, the data are cached in advance before a handover happens, so that the vehicle can restore normal communication faster. In order to confirm the superiority of our proposal, computer simulations are conducted from different aspects. The results show that our proposal can significantly improve the network performance when a handover happens.

scholarly journals A Lightweight Forwarding Strategy for Named Data Networking in Low-end IoT

2019 ◽  
Vol 148 ◽  
pp. 102445 ◽  
Author(s):  
Amar Abane ◽  
Mehammed Daoui ◽  
Samia Bouzefrane ◽  
Paul Muhlethaler
Keyword(s):  
Named Data Networking ◽  
Forwarding Strategy ◽  
Data Networking
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