Network Simulation Using Ns3

The network components based on Ns3 simulator are enhanced through the classes based on the option based fashion. The simulator is supportive for the class based on the hierarchy in C++ and it is parallel to the hierarchy in OTcl. The users are creating the novel simulator objects over the OTcl interpreter. The Ns2 is considered as the provision of simulation support based on multicast protocols, queuing algorithms, routing algorithms and simulation in TCP through both the wireless and wired networks.

802.11 MAC

Local variables
pktRTS_
pktCtrl_
pktRx_(inherited from Mac class):
pktTx_ (inherited from Mac class):
Basic functions
recvDATA().
It is deployed to point the upper layer in DATA MAC frame
sendDATA().
It is used to compose the fame based on DATA MAC and that sets the pktTx_
send():
It is used when the packets are sending down and callback is considered as the parameter. sendDATA(p) is considered as the generation of appropriate mac_header packet
recv():
It is functional as the MAC class that is overridden and it is considered as the incoming packet in both the upper layer and physical layer
State machine
The two states such as rx_state and tx_state are considered as the members of variables and it is not capable to receive and transmit the parallel time and the below mentioned are considered as the possible states
MAC_ACK
MAC_CTS
MAC_RTS
MAC_COLL
MAC_RECV
MAC_IDLE
MAC_SEND
Other IEEE 802.11 features
Virtual carrier sense
The process includes most significant phase in the code such as CTS and RTS with some functions including retransmitRTS and sendRTS
Carrier sense
It is functional through the physical layer source code with the state of 802.11 MAC and that is controlled through the timers including Backoff_timer

DSR in Ns3

Hereby, our research professionals have enlisted the significance of entry points in the DSR agent.

Initially, it is normal to recv() functions that are characterized as the packets that are addressed with the predetermined process in nodes and the upper target
tap(). is considered as the hidden entry to turn the promiscuous with the snooping process to shorten and route the path
xmitFailed(). is the callback process which is meant for the MAC transmission fails related to the route error message generation

Consequently, the most essential data about the DSR signaling packets in with all the required data are highlighted in the following.

route-error
It is unicasting both the layer 2 and 3 with the creation of tx_failure in lower layer
route-request
It is considered as the packet with 3 layers including MAC_Broadcast and unique destination address
route-reply
It is unicasting both the layer 2 and 3

DSDV in Ns3

The routing protocols based in the routing messages are switched with the exchange along mobile nodes and flooding routing updates which are trigged. In case routing information, the updates that are triggered over the neighbor forces are capable to alter the routing table. In addition, the packets are route with the destination of cached number of routing entry with routing table. It includes the maximum number of buffering size that is caching the packet waiting process in routing information over the drop of pkts.

It includes the route advertisement messages that are novel for all the routes with the three data process such as

Sequence number
Destination address
Metric

The above mentioned data are originally stamped through the process of destination with the requirements. The packets are destined with the mobile nodes for the direct route that is addressed with the dmux towards the port dmux. The port includes the hand with some packets with the representation of destination agents along with that the port number 255 deployed as the routing agent based on mobile nodes.

Wireless Network Setup

The wireless network which is created using Ns3 for the utilization of elements in mobile nodes and configuration in all the years. Generally, the nodes are used as the deterministic process of flat grid network space with the mobility model and nodes are generated with some integration process based on simulation

In simulation, the mobility model is created and integrated with simulation. The data communication among the nodes is configured through the agents in layers such as application and transport with the requirement of attachment with the receiver and sender nodes. Various types of wireless networks are considered as the simulated subjects with the particular protocol configurations and specifications. In addition, the wireless networks includes

Heterogeneous network
Cellular network
Wireless Mesh Network
Cognitive Radio Network (CRN)
Cognitive Radio Network (CRN)
Wireless Sensor Network (WSN)
Vehicular ad hoc Network (VANET)
Mobile ad hoc Network (MANET)

Protocols and Configuration Parameters

The process of physical layer enables the configuration of channel, channel fading, error model, signal propagation model, antenna type and interface schemes. The process includes various layers and they are listed in the following.

Application layer protocols
Video
RealAudio
Pareto
Exponential
CBR
FTP
Transport layer protocols
LossMonitor
RTCP
RTP
SCTP
XCP
UDP
Network layer protocols
POR
GPSR
PEGASIS
LEACH
CBRP
CGSR
FSR
ZBR
ZRP
OLSR
TORA
AOMDV
DSDV
DSR
AODV
MAC layer protocols
IEEE 802.11p
IEEE 802.11
IEEE 802.15.4
Interface Queues
RED
CMU priority queue
Priority queue
Drop tail

The process of application layer agents includes the options such as start and stop of time transmission, data transmission interval, data rate and packet size. The node ability model is created through the specifications of target speed and location. The node is configured with various communication ranges. The energy model is created through some particular process such as idle, sleep power, reception, transmission and initial energy of nodes. The error model is generated with the random pocket loss rate for the simulation of network fading and interference.

Wireless Network Scenarios

Several wireless network scenarios are functional in this process as the link failure by the reason of attacks, congestion and mobility. In addition, they are created through the variations among the simulation period along with the determined event simulation capability of network simulator.

Dissertation Topics in Network Simulation Using Ns3

Optimal resource allocation in multi hop wireless networks relying on energy harvesting
Resource allocation for open loop ultra-reliable and low latency uplink communications in vehicular networks
Robust virtual network function allocation in service function chains with uncertain availability schedule
Resource allocation for energy efficient NOMA system in coordinated multi-point networks
Resource allocation for open loop ultra-reliable and low latency uplink communications in vehicular networks

Through this article we have given you a very broad picture about selection process of dissertation topics in the network simulation using Ns3 where you can find the complete information regarding the significance of Ns3, its utilization, advantages, latest research topics and etc. In addition, reach us to fulfill all your research requirements with the best innovations and novel executions with the support of our research experts.

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Research Topics	Project	Paper	Thesis
3D Underwater WSN	150	499	541
Hybrid Beamforming	110	398	432
Intelligent Agent WSN	135	412	510
Blockchain technology	121	467	496
Optical Networks	149	398	465
Vehicular sensor Network	250	491	534
Industrial IoT	114	378	431
Service Discovery	170	419	489
Named Data Networking	121	386	423
SDN-NDN	110	427	498
D2D Communication	131	389	425
M2M Communication	108	389	411
UWB communication	124	495	510
5G Network Slicing	137	437	492
Delay Tolerant Network	105	469	533
Multi-Microgrid	111	326	379
Content-centric network	100	296	304
5G Beyond networks	131	379	409
Cloud-RAN	127	352	389
Fog-RAN	145	310	378
FANET	178	395	400
Cognitive adhoc network	153	325	363
Vehicular NDN	175	310	425
Multimedia sensor network	205	275	315
V2X communication	151	200	308
Software-defined WSN	176	248	358
5G	201	289	365
Fibre Channel / Cellular / 5G topics	—	—	—
Cellular Networks	185	235	397
CRN	204	268	348
IoT	163	287	395
Intrusion Detection system	110	257	348
LiFi	101	279	386
LTE	159	208	345
MANET	175	247	395
MIMO	142	298	354
Mobile Computing	114	254	308
RPL	189	275	357
SDN	109	258	346
VANET	152	278	359
Vertical Handover	108	241	367
Wireless Body Area Network	121	198	348
Wireless Communication	178	248	371
Wireless Sensor Networks	106	213	369

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Traffic Analysis Attack
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Masquerade Attack
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Bus-Star Hybrid Topology
Hierarchical Star Topology
Ring-Mesh Hybrid Topology
Star-Bus Hybrid Topology
Extended Bus Topology
Wireless Topology
Bluetooth Topology
Fiber Optic Topology

Network traffic analysis
Network Routing
Network designs optimization
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Physical layer technologies
Network Security Analysis
Multi-RAT
AP Selection
Delay Assessment
Packets Transmission
Mobility Handoff Management
Mobility Management
Distributed Systems
Energy Management
Channel Equalization
Trust model
Clustering
MAC protocol design
3D Beam alignment
Blockage mitigation
Offloading
Data fusion
Bundling protocols
DTN data management
DTN architectures
DTN prototypes
Network Content Sharing
Data Synchronization
Trust Models Design
IP Addressing
Namespaces
PID Management
Rendezvous, Discovery
Bootstrapping
Data Transmission Privacy
Social Network Analysis
Ransomware Target
StableBitcoins
Interoperability
Consensus Protocol Design
Protocol Optimization
Lightweight Blockchain Design
VNFs Orchestration
Containerized Services
Quantum Communication
Physical Layer Communication
NFV Communication
Scalability Improvement
Network Softwarization
Interact Different Networks
Fusion of Fronthaul
Backhaul
Small Cell Nets
Allocation in HetNets
slicing HetNets
Interoperability B5G
Coexistence of OFDMA
NAMO
Traffic differentiation
Traffic Offloading
M2M Radio Link
Mesh Communication
Sensor Management
Device Management
Spectral Efficiency
Network Resource Allocation
Cross Layer Design
Multimedia Transmission
Next Generation
Channel Rate Adaptation
Multi-Hop Energy
Flying Vehicle Communication
Submarine Data Transmission
Visual MIMO
Large-Scale Networks
mmWave
Node Deployment
OSI layers Security
Trust based Routing
Reputation based Routing
Network Port Access
Multi-level Firewall
En-Route Filtering
End-to-End Encryption
Radio Fingerprinting
Scalable Parameterization
Channel Interference Avoidance
Radio Resource Allocation
Frequency Hopping
Data Suppression
Data Compression
Beamforming
Multimedia Routing
Cell Sectorization
Satellite Constellations 5G
Satellite Constellations B5G
AI based Resource Allocation
Energy Harvesting
Energy Consumption
Route Readjustment
Path Prediction
Mobile Sink Location
Relocation
Intelligent Agents Deployed
3D Wireless Sensor Modeling
4D Wireless Sensor Modeling
6TiSCH Sensors Communication
TSCH based Sensors Communication
New Waveform
Channel Modeling
Spectrum Allocation
Energy Harvesting in URLLC
Energy Harvesting eNBB
Security Preservation
Bio-Inspired Routing
Deep Learning based Routing
Route by Hybrid Protocols
Routing Protocols Design
Multi-Criteria based Routing
Network Structure
Topology based Routing
MIMO Routing
Hybrid Beamforming
Interference Management
Channel Characterization
Pilot Contamination
3D Channel Modeling
HD Video Streaming
Mobile Data Networking
Carrier Aggregation
Channel Aggregation
Packet Scheduling
Scheduling Cell Resource
Uplink Synchronization
Downlink Synchronization
QoS aware Routing
QoS aware Clustering
3D MANET Massive Users
4D MANET Massive Users
Interoperability to D2D
Interoperability Cloud
Interoperability 5G
MANET-IoT
Massive Channel Access
H&off Management
Video Traffic Scheduling
Secondary Users Routing
PUEA Detection
Spectrum & Power Allocation
Error Control & Fault Prediction
Dynamic Spectrum Access
Channel Scheduling
Channel Sensing
Relay Selection
Power Allocation
Coverage Improvement
Capacity Improvement
Power allocation
scheduling
Content Dissemination
VSN
Mobile Sensing
Network Collision Avoidance
Traffic Congestion Info
Systems on a chip
Optical fibers
line switching
Passive optical networks
Rapid fault handling
Optics in 5G networks
Satellite optical
Low earth orbit satellite
M2M satellite communication
Heterogeneous satellite-cooperative
Hybrid satellite terrestrial relay network
Inter-satellite Optical communication
DWDM in Fiber
Packet Switching
Optimal Routing
Optical Visual MIMO
Burst Loss Probability
Flexible Branching
Path planning AUV
cluster transmission
Prediction sensor location
Range Free Localization
Gateway Placement
Mobility Control
Adjustment of power
Demodulation
ISI mitigation
Reactive obstacle prediction
Localization schemes
Channel coding
Aggregation
Co-channel interference
Nearest Antenna Selection
Spatial Modulation
PAPR Mitigation
Multiple Access
Filtered OFDM
MAC Frame Design
In-body, On-body & Off-body
Emergency Data Prediction
Remote Patient Monitoring
Energy Aware Resource Allocation
Power Optimized Data Transmission
Flow Rule Placement
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Buffer Management
Network Traffic Analysis
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Controller Placement
Emergency Message Dissemination
Vehicle Traffic Analysis
Network Penetration Testing
Security Information and Event Management
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Task Offloading Decision
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Network Privacy
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Network Traffic Balancing
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