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WSN Training

Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. WSNs measure environmental conditions like temperature, sound, pollution levels, humidity, wind, and so on. These are similar to wireless ad hoc networks in the sense that they rely on wireless connectivity and spontaneous formation of networks so that sensor data can be transported wirelessly. Sometimes they are called dust networks, referring to minute sensors as small as dust. Smart dust[1][2][3] is a U C Berkeley project sponsored by DARPA. Dust Networks Inc., is one of the early companies that produced wireless sensor network products. WSNs are spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, pressure, etc. and to cooperatively pass their data through the network to a main locations. The more modern networks are bi-directional, also enabling control of sensor activity. The development of wireless sensor networks was motivated by military applications such as battlefield surveillance; today such networks are used in many industrial and consumer applications, such as industrial process monitoring and control, machine health monitoring, and so on.

COURSE OUTLINE

  • WSN Training

  • KEY FEATURES

    Power consumption constraints for nodes
    using batteries or energy harvesting. ...
    Ability to cope with node failures (resilience)
    Some mobility of nodes (for highly mobile nodes see MWSNs)
    Heterogeneity of nodes.
    Homogeneity of nodes.
    Scalability to large scale of deployment.

    JOB OPPORTUNITIES

    Nework Engineer
    Deputy Manager
    Senior Executive
    Senior wireless software Engineer
    Senior Network Engineer
    L3 Network Engineer

WSN FOR YOUR CAREER

JiST/SWANS, GloMoSim, SSFNet
Ptolemy II, ATEMU, SENS
SNAP, NS-2 [10], TOSSIM


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