TOSSIM in WSN Wireless Sensor Network

TOSSIM in WSN Wireless Sensor Network

           WSN is a wireless sensor network that is widely used for many purposes example Weather detection, Fire detection, Temperature sensor, Device tracking, and so on. We are using this kind of wireless application in our daily routine. In recent times, we are developing lots of projects based on wireless sensor networks. It is one of the emerging technologies right now. But, we don’t know how these kinds of technologies have been constructed, how it’s working. This is important to have a basic knowledge of modern technologies. This article is very useful for gaining your idea about TOSSIM in WSN and also give a piece of knowledge in topology, gateway, and characteristics of Wireless Sensor Network and so on.

           TOSSIM is abbreviated from TinyOS sensor network and it’s mainly designed for the discrete event simulator. If we need to compile TinyOS application, TOSSIM framework is best for that kind of compilation in personal computers. It gives permission to the user for the repeatable and controlled environment for debugging, analyzing, and testing the application.

Tossim in WSN Simulator

TOSSIM in WSN (Wireless Sensor Network)

           It is represented as a TinyOS wireless sensor network to simulate the discrete event in the distributed system. From the concept of network simulator version 2, TOSSIM is built based on NS2 Simulator. Due to this, the attraction and behavior of the network are based on the granularity of bits and do not base on the packet level. Here, the sensor networks are called motes.

           This is the basic concept of TOSSIM in WSN. The overall concept of TOSSIM is to simulate the TinyOS application for discrete events. Then the following topics will go through what is TinyOS event-driven, the reason for using TinyOS, aspects, and suitable sensors for TinyOS. Let we will separately see each topic.

TinyOS event-driven

 In this TinyOS, the components are connected by wire to construct a program. The reason we said event-driven is this OS has built-in functions, if in this situation the function is needed and use a function itself by using nesClanguage command. It is also has a scheduler it is used to connect components that are represented by the graphical structure.

Reason for Using TinyOS

           The main reason for using TinyOS is its flexibility and one of the main goals of TinyOS is to accelerate and enable innovative ideas.

  • The work of a flexible Operating System gives a variation in the amount of innovation and in hardware and applications for the particular application to decrease the power and space and also represents the boundary freedom among both software and hardware.

Aspects of TinyOS: This OS supports packet storage, communication, actuation, routing, and sensing because of common interfaces and components.

  • Fully non-Blocking: In this OS have several input and output operations and they are a few hundred microseconds long and call back. This is also called a one-call stack.

Suitable sensor nodes for TinyOS

           TinyOS gives support for a number of hardware problems and is also used in various sensor motes for a generation. Event-driven is a perfect sensor for TinyOS because its communication and computation tight coupling is used to select sensors in a particular domain.

The main purpose of the sensor network is to monitor the environmental and physical condition in various places with the use of distributed autonomous sensors it contains some types of parameters there are vibration, Temperature, Sound, Pressure, motion.

    So far, we discuss TOSSIM in WSN and the basics of TinyOS. Then we will move on to the next topic which is a topology in Wireless Sensor Networks. Topology is nothing but denotes the structure of the network. Let’s see what are the structures used in a wireless sensor network.

WSN Topology

  • WSN system can be classified that structure into some kind of topology based on the characteristics of the node that is Grid, Bus, Ring, Tree, Mesh, Star, and Circular.

The above content insists on the basic structure of the wireless sensor network. Then we move on to the other topics there are deployment and ways to deploy the nodes in wireless sensor networks.

Define deployment in WSN

           Here, more number sensor nodes are connected with each other to monitor the one region and then the main duty of the wireless sensor network is to get the data from the end devices and process that received data then transmit the data to the current location.

  • To maintain the full coverage of the region, a few numbers of nodes are enough and the connectivity is important for the research purpose.

How to deploy sensor nodes in WSN?

           Here, sensor nodes are deployed using some scenarios at it can be classified into some ways. This kind of deployment method are moreover same as a particular application and it has two ways to deploy the sensor nodes that are,

  • Random deployment
  • Deterministic deployment

The above two topics give a clear idea about a deployment in WSN and also deploying steps to deploy the sensor nodes. Then we will discuss gateway. Consider some Wireless Sensor Network applications that are must communicate with WAN or LAN (Wide Area Network or Local Ares Network) via a gateway.

Gateway in WSN

           Gateway is an intermediate node between wireless sensors networks to the other network for transmitting signals are information’s from one network to the other network. Assume the currently located server that is mainly stored the data and processes adding some resources to the device.

           This is the actual explanation of gateway in a wireless sensor network. Mainly, the gateway acts as a bridge between two kinds of networks. Then we will discuss some characteristics of the wireless sensor network.

Characteristics of WSN

  • All nodes have batteries so it has a limited amount of power consumption.
  • Easy to use and able to handle the failure nodes.
  • Maintain strict environmental conditions
  • Scalability to the large scale of the region.
  • Heterogeneity of nodes and added mobility 

These are the characteristics that are calculated from the simulation result of the wireless sensor network. The next topic we will see about a demo of TOSSIM in WSN.

Demo for TOSSIM Simulator in WSN

           This kind of TOSSIM simulator is based on the solution of distributed computation and fully parallel to give the solution for the MIS problem (Maximum Independent Set) using of Hopfield neural network with hardware platforms on wireless sensor networks.

Objectives of TOSSIM

  • Calculate the properties of scaling with some already existing paradigms for computing because of combining the sensor network to the neural network.
  • For neural network computations, it gives a distributed and parallel platform.
  • Profile the cost in space and message and time complexity.

Virtual local interface in TOSSIM

  • The TOSSIM simulators also act like localization in the time of TinyOS application simulations.
  • It also built some virtual location of mote to the location interface.
  • Here setting some values like fake ADC number on each mote is also called as FakeLocation component.
  • This kind of FakeLocation is used to read and find the virtual location for each mote.

Here, we will see about the objective or aim of TOSSIM and also the virtual location interface. Also, we note the important method that is called FakeLocation. Then we will go through the next section that contains the information about performance and metrics of simulation.

Simulation Parameters in TOSSIM

  • For Wireless Sensor Network the motes counts are 182, 100, 50, and 10.
  • This TOSSIM setting has two constraints based on parameters with derived sequences.
  • The distribution of nodes is useful to the characteristic of the data with statistics. Every mote has to simulate at least ten times.

Performance metrics for WSN 

  • Local counter maintains all message transactions, a total number of transmitted messages are used to fine a total amount of packets.
  • Windows are useful to indicate the memory footprinting of the process in TOSSIM.
  • TOSSIM is also calculated the simulation process time itself. The total number of messages is transmitted and an increasing percentage of the simulation process is used to fine a message complexity of the TOSSIM.

High mote count sensors are a must that needs to simulate with environmental real-time applications. These are some of the performance metrics of TOSSIM. Then we deal with the topic that is Visualization. Here TinyViz software is used it is also the same as a java visualization and it acts as an actuator for TOSSIM.

TinyViz visualization in TOSSIM

  • The jar file of TinyViz has the directory that is tools/java/net/tinyos/sim/tinyziz.jar and it is also attached with some simulation runs.
  • It’s not like an actual visualizer. It requires some framework to plugins the functionalities, LEDs are the draw motes of TinyViz it also comes with network traffic visualization.
  • TOSSIM is waiting for TinyViz connection here GUI flag is used to give permission to the user to maintain all the events in the simulation process.

           The above section has the basic concept of TinyViz that is visualization software. Finally, we will discuss the advantages of wireless Sensor Networks.

Benefits of WSN

  • It does not require any wires because it has the wireless nature
  • Adding of new device or note at any time is not matter because it is scalable
  • WSN nodes are accessed via centralized monitoring systems
  • It also flexible for the physical partitions

So the above list is the advantages of the wireless sensor network. We are discussing entire concepts about TOSSIM in WSN. We hope this article is providing the best knowledge about WSN and its project areas. We have more number of developing and developed projects based on WSN. For further clarifications kindly contact us.      

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
RTOOL 13 15 8
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
VIRL 9 9 8
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
ONESIM 5 10 5
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9

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