WSN Projects provide a complete view of the WSN topics. Wireless Sensor Network (WSN) is a large network that covers the number of sensors. It’s scattered in a sensing field. Each sensor in the network acts as both the sensing and relay point. Besides, sensors are tiny in size and also energy. Thus, periodic data transmission consumes more energy. Also, it leads to more network lifetime.
Applications of WSN are huge. Sample applications are battlefield surveillance, disaster detection, and precision agriculture. On this page, you get an end to end info of WSN. A prime classification of WSN has been made in three ways as follows.
In view of this, the process of WSN is able to work with real thoughts. At this point, focus on any set of issues in WSN helps to improve the value of your project and also propose solutions in the novel.
Clustering is a practical solution for an energy constraint issue. Hence, most of the WSN projects depend highly on clusters. During cluster head selection, some of the objectives must follow,
Similar to clustering, select a route also plays a vital role in WSN. There needs one path that must be the best to send the whole data as we find the path by the following manners.
Mobile WSN works on the current line of wireless sensor networks application projects. Here, mobile sensors and sink are in the usage in this network. A mobile node means movable at any speed in any direction. Likewise, mobile sink travel among sensors. Hence, energy consumption for too far distance sensors has reduced.
A virtual sensor network (VSN) is another field of WSN. It enables three key points, such as resource-efficient, collaborative, and also multi-purpose. In the end, we measure the results through simulation tools. In this case, our end users can use the apt tool for their use. That is to say, NS2, NS3, OMNeT++, and so on. In addition, WSN enables the pupils to do more in such areas of the following.
For the most part, we have things on all the issues in WSN. To this end, we say in a word to dial-up and catch your yield. In any event, we hold your hands and connect both on a single work.
| 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 |
| COOJA SIMULATOR | 35 | 67 | 28 |
| 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 |
| GLOMOSIM | 6 | 10 | 6 |
| RTOOL | 13 | 15 | 8 |
| KATHARA SHADOW | 9 | 8 | 9 |
| VNX and VNUML | 8 | 7 | 8 |
| WISTAR | 9 | 9 | 8 |
| CNET | 6 | 8 | 4 |
| ESCAPE | 8 | 7 | 9 |
| NETMIRAGE | 7 | 11 | 7 |
| BOSON NETSIM | 6 | 8 | 9 |
| VIRL | 9 | 9 | 8 |
| CISCO PACKET TRACER | 7 | 7 | 10 |
| SWAN | 9 | 19 | 5 |
| JAVASIM | 40 | 68 | 69 |
| SSFNET | 7 | 9 | 8 |
| TOSSIM | 5 | 7 | 4 |
| PSIM | 7 | 8 | 6 |
| PETRI NET | 4 | 6 | 4 |
| ONESIM | 5 | 10 | 5 |
| OPTISYSTEM | 32 | 64 | 24 |
| DIVERT | 4 | 9 | 8 |
| TINY OS | 19 | 27 | 17 |
| TRANS | 7 | 8 | 6 |
| OPENPANA | 8 | 9 | 9 |
| SECURE CRT | 7 | 8 | 7 |
| EXTENDSIM | 6 | 7 | 5 |
| CONSELF | 7 | 19 | 6 |
| ARENA | 5 | 12 | 9 |
| VENSIM | 8 | 10 | 7 |
| MARIONNET | 5 | 7 | 9 |
| NETKIT | 6 | 8 | 7 |
| GEOIP | 9 | 17 | 8 |
| REAL | 7 | 5 | 5 |
| NEST | 5 | 10 | 9 |
| PTOLEMY | 7 | 8 | 4 |
