Wireless sensor networks simulators

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Wireless Sensor Networks (WSN) mainly requires low power consumption that creates learning objectives which can be used to build scenarios on simulators. WSN advances in new energizing technologies. Simulation is a process of changing or modifying the real time system networks. It consists of sensor nodes where it will detect the signal whether it is correct or not by its signal to noise ratio. Simulation process will be more helpful in working with wireless sensor network. Simulators differ from scalability, real time uses and reliability and hardware techniques. SENSE; is simulating wireless sensor network. Recent progresses aim to reach the reusability of simulation in Wireless sensor networks. Sensor node is the important component as it is layered with network protocol, power and battery component. Without using such simulation tools it is tough to understand the WSN. Some extensions should be developed to support WSN simulators. The sensor nodes should concern with amounts of energy spends in data transfer it may lead to delay. Delay Constrained Energy Efficient Routing Problem (DCEERP), in which sensor node must link with low power consumption such that the transfer delay is found in the path. Media Access Control (MAC) levels will overcome these DCEERP problems by controlling the power and delay in data transfer.

Aims: To observe the wireless sensor networks in case of simulators


  • Reusing the simulation process in wireless sensor networks
  • Applying different tools in Wireless Sensor Networks
  • Checking various nodes in network protocols

Literature Review

Wireless Sensor Networks is a network of tiny devices that is widely used in everyday life. WSNs are formed by a large number of resource-constrained and inexpensive nodes, which has an impact on protocol design and network scalability. Energy is a primary concern, because nodes usually run on non rechargeable batteries. Thus, the improvement of network lifetime is a fundamental research issue. WSN simulators must be provided with highly accurate radio models that also scale well to a large number of nodes. WSNs are composed of a (very) large number of sensors or nodes, which gather events and process them. Some WSNs and simulation tools also include sink nodes. They process data from the net, and may interrogate sensors about events of interest (Esteban Egea-Lopez, Javier Vales-Alonso, Alejandro Martinez-Sala, Pablo Pavon-Mariño, and Joan Garcia-Haro, 2006). There are many simulation tools to be used in wireless sensor networks that are important in providing results that are accurate and detailed. Varieties of simulators are used in general in WSN area because it is not feasible to provide all the required features in one application and also to support all the hardware and software platforms. This type of network allows communication to be possible between the nodes within the network (Azadeh Abdolrazaghi, 2009). Simulators are necessary in developing or researching in WSN. It has a wide range of applications in battlefield, surveillance, target tracking, industrial process monitoring, environments and habitat monitoring, precision agriculture and disaster area monitoring (Milos Jevtic and Nikola Zogovic, 2009). Simulator acts as a discrete event simulator module and is an implementation of the interface simulator. This provides methods in order to add and remove events, clear event queue or generate random numbers and time values etc. Simulators uses binary heap data structure to manage events based on the time at which they are fired (Thomas W. Carley, 2005). Wireless sensor networks has become a rapidly developing research area that offers fascinating perspectives for combining technical progress with new applications of distributed computing. These networks consist of tiny battery powered devices that can be seen as a combination of a micro computer and a sensor board (Carsten Busschmann, Dennis Pfisterer and Stefan Fischer, 2005). Hence it is understood that Wireless sensor networks facilitate monitoring and controlling of physical environments from remote locations with better accuracy. They have applications in a variety of fields such as environmental monitoring, military purposes and gathering sensing information in inhospitable locations. Sensor nodes have various energy and computational constraints because of their inexpensive nature and adhoc method of deployment.


  • Azadeh Abdolrazaghi (2009) "Unifying Wireless Sensor Network", [Internet] availabie at URL: , [accessed on 1st February 2010].
  • Milos Jevtic and Nikola Zogovic (2009) "Evaluation of wireless sensor network simulators", [Internet] available at URL: < http://www.telfor.rs/files/radovi/10_48.pdf>, [accessed on 1st February, 2010].
  • Thomas W. Carley (2005) "A Wireless Sensor Network Simulator", [Internet] available at URL: < http://www.lib.umd.edu/drum/bitstream/1903/6565/1/TR_2005-88.pdf>, [accessed on 1st February 2010].
  • Esteban Egea-Lopez, Javier Vales-Alonso, Alejandro Martinez-Sala, Pablo Pavon-Mari&ntilde;o, and Joan Garcia-Haro (2006) "Simulation Scalability Issues in Wireless Sensor Networks",[ Internet] available at URL: < http://nsl.csie.nctu.edu.tw/NCTUnsReferences/SimulationNCTUns.pdf>, [accessed on 1st February 2010].
  • Carsten Busschmann, Dennis Pfisterer and Stefan Fischer (2005) "A Wireless Sensor Network Visualizer", [Internet] available at URL: , [accessed on 1st February 2010].