Industrial Wireless Sensor Networks (IWSN) Market

Topics: Wireless sensor network, Sensor node, Network topology Pages: 1 (334 words) Published: April 4, 2014
The Industrial Wireless Sensor Networks (IWSN) Market for Manufacturing & Process Control Automation market is expected to grow from $1.610 billion in 2011 to $3.795 billion in 2017, at a CAGR of 15.58% from 2012 to 2017. The key companies with respect to Industrial Wireless Sensor Networks (IWSN) Market for Manufacturing & Process Control Automation include Emerson (U.S.), GE Energy (U.S.), Honeywell (U.S.), ABB (Switzerland), Endress+Hauser (Switzerland), Siemens (Germany), Yokogawa (Japan), Yamatake (Japan), Invensys (U.K.), Mitsubishi (Japan), and others. Due to the rise in demand for wireless sensor networks in recent times, significant shift is observed from traditional, wired technologies to upcoming wireless technologies. Asia-Pacific is expected to grow at the highest rate due to increase in production activities in APAC, huge population base, and lucrative government policies. China is, in fact, the growth engine for automation in Asia-Pacific; in spite of lower levels of plant automation. India is also gaining market shares worldwide

The WSN consists of "nodes" – from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensor. Each such sensor network node has typically several parts: a radio transceiver with an internal antenna or connection to an external antenna, a microcontroller, an electronic circuit for interfacing with the sensors and an energy source, usually a battery or an embedded form of energy harvesting. A sensor node might vary in size from that of a shoebox down to the size of a grain of dust, although functioning "motes" of genuine microscopic dimensions are yet to be created. The cost of sensor nodes is similarly variable, ranging from a few to hundreds of dollars, depending on the complexity of the individual sensor nodes. Size and cost constraints on sensor nodes result in corresponding constraints on resources such as energy, memory, computational speed, and communications...
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