Performance Analysis of WSN on NS2 Simulator and WirelessHART

This report presents an analysis of Wireless Sensor Networks (WSN) using the NS2 simulator. It begins with an introduction to WSNs, highlighting their features and the NS2 simulator's capabilities. The report then explores two network topologies: mesh and cluster networks. The simulation scenarios focus on packet loading and reception ratios. A significant portion of the report is dedicated to WirelessHART, detailing its architecture, implementation, and validation processes. The implementation aspects include modifications to the physical, network, data link, application, and transport layers. The validation process involves traffic pattern generation and verification. Finally, the report discusses the applications of WirelessHART, including closed-loop regulation and safety actions, and concludes with potential future applications, such as supporting ad-hoc mode and real-time industrial process control. References to relevant research papers are also provided.

APPLICATION OF WIRELESS SENSOR
NETWORK ON NS2 SIMULATOR

INTRODUCTION
This presentation will discuss about two papers
namely:
 Performance Analysis of Wireless Sensor Network
Based on NS2
 Implementation of WirelessHART in the NS2 Simulator
and Validation of Its Correctness

Performance Analysis of Wireless
Sensor Network Based on NS2
This paper discusses about the performance analysis of
WSN in different applications.
Wireless Sensor Networks: It is a group of dedicated
sensors which are used for monitoring the condition of
the surrounding and collecting data from a centralized
location [1].
NS2 Simulator: Network simulator is an open source
simulator which supports routing over wireless
connections.

WSN FEATURES
The network of NS2 supports different features like:
 It allows CSMA-CA channel access
 Automates Network Establishment
 Powers the management of networks
 Has data rates ranging from 250 to 20 kbps.

NETWORK TOPLOGIES OF WSN
Two network topologies are recommended in this paper
based on the mentioned network system:
1. Mesh Network Topology
2. Cluster Network Topology

SIMULATION SCENARIO OF WIRELESS
SENSORS
In this paper two different ratios are taken into account to
measure the simulation performance of WSN:
 Packet Loading Routing- it is defined as the ratio of the
packets of AODV to the number of packets received.
 Packet Reception Ratio- it is the ratio of the nodes that
receives a packet from the targeted node successfully to the
number of packets sent in the MAC layer [2].

WIRELESS HART- A TYPE OF WSN
The next part of this presentation discuses on the paper
of implementation of wireless hart in ns2 simulator.
Wireless HART was first introduced in 2007 in the field of
network devices [3].
It is a type of wireless sensor network mainly based on
Highway Addressable Remote Transducer Protocol. The
wireless HART has compatible and configurable control
system to integrate wireless network devices.
It is estimated that about more than 24 millions of HART
devices are installed per year in the network fields.

ARCHITECTURE OF WIRELESS HART
The wireless Mesh Network protocol is used to form the model of Wireless HART.
It provides a more secured and robust mesh network and is mainly implemented in the
Wireless HART protocol stack.
The architecture of wireless HART as mentioned in this paper includes the following
features:
 A set of field devices
 A large number of access points
 A gateway
The communication between the WFD and the Host is generally established by the
gateway.

IMPLEMENTATION OF
WIRELESS HART
Wireless HART protocol stack is the major
implemented area of HART technology [4].
The modifications that are done with the
stack model includes-
1. Physical layer- As such no modifications
are done with this layer
2. Network layer- a security sublayer is
added over here to ensure secure
connection. Source and Route tables
are also added here.
3. Data link layer- implementation is done
in the MAC layer to allow time
synchronization of network and channel
hopping.
4. Application layer- To manage super
frames and commands of link, a HART
command is implemented in this layer.
5. Transport layer- a transport line is
implemented here to ensure secure

VALIDATION OF WIRELESS
HART
In order to validate any implementation
of wireless network the following
processes are mentioned in the paper:
1. The network first generates the traffic
pattern
2. The collected traffic pattern then
validates and corrects the application
of the HART stack.
3. It then confirms simultaneously that
the network management used in the
network manages the a same way as a
genuine network manages in a
network industry.

CLASSES OF
APPLICATION OF
WIRELESS HART
The different applications of Wireless
HART follows-
1. Controlling closed loop regulation
2. Providing safety action during
emergency
3. Monitoring installation of
applications within the network
field.
FUTURE OF WIRELESS
HART
 Supporting Ad-hoc mode
 Real time industrial process control
 Simulation in HarFi system
 Comparing localization accuracy

CONCLUSION
Realistic simulations can be made with HART
implementation
The HART network topology provides supports for
application in network field devices.
It provides new opportunities for users to gain
information on the parameters in the process.
Different network algorithms can affect the operation of
HART technology by simulated network managers thus
it needs to be mentioned.

References:
[1] Rawat, P., Singh, K.D., Chaouchi, H. and Bonnin, J.M.,
Wireless sensor networks: a survey on recent developments
and potential synergies. The Journal of supercomputing, 68(1),
pp.1-48, 2014.
[2] Lin, S., Miao, F., Zhang, J., Zhou, G., Gu, L., He, T., Stankovic,
J.A., Son, S. and Pappas, G.J., ATPC: adaptive transmission
power control for wireless sensor networks. ACM Transactions
on Sensor Networks (TOSN), 12(1), p.6, 2016.
[3] Khan, B.M. and Bilal, R., Cross-Layer Cooperative Protocol
for Industrial Wireless Sensor Network: Cross-Layer Cooperative
Protocol for IWSN. In Handbook of Research on Recent
Developments in Intelligent Communication Application (pp.
218-241). IGI Global, 2017.
[4] Caro, D., Wireless networks for industrial automation. ISA,
2014.