SmartDust was designed in very small Silicon Mote and integrated with SoC and solar-cell technology in early days.
Intel Mote
One component of the sensor node is low-power CPU, this component has been developed by Intel, ARM, and Motorola. Intel developed motes which use micro processor based on ARM 32bit CPU , as following image shows Intel Mote . It has 64KB RAM, 512 KB memory and 12MHz CPU clock. RF Module is based on 2.4GHz Blue tooth which is developed by Zeevo, and its transmit ration is up to maximum 720kbps.
One component of the sensor node is low-power CPU, this component has been developed by Intel, ARM, and Motorola. Intel developed motes which use micro processor based on ARM 32bit CPU , as following image shows Intel Mote . It has 64KB RAM, 512 KB memory and 12MHz CPU clock. RF Module is based on 2.4GHz Blue tooth which is developed by Zeevo, and its transmit ration is up to maximum 720kbps.
Problems and other approach
However, the sensor node technology has still outstanding issues such as sensor size , battery life cycle, cost for installation and data accuracy. To solve these issues many research and development project is still going on. By the Dust technologies, current sensor mote size is as small as 1cent, however, it can be recognized by eye, so it can easily exposed to enemy or general human beings who may regard it as “dust” and throw it away.
Second, limitation of battery life cycle can be an obstacle for the deployment. To extend battery’s life cycle there are several approaches has been researched and developed. In initial stage, it is proposed instead of battery, that solar cell is used. However, solar cell cannot minimized mote size and not efficient in energy transformation. Since then, instead on solar cell, acoustic noise and kinetic energy by vibration between the motes are replaced.
l Solar cell
l Energy source from human body (Temperature)
l Source from building(heat)
l Kinetic Energy (by Vibration, by Motion
l Acoustic Noise
Nowadays, other approach for better life cycle is researched by communication engineering area, which is to optimize sensor network To minimize battery exchange cost, there are several efficient communication routing protocol is proposed for example, SMedia Access Control by prof. Wei Ye.
Third, sensor mote’s price is not cheap. Recently, MEMS technology has dramatically led to the development of ultra small in size, low-power, low-cost sensor devices. However, cost is shrink down from 50$/mote to 1$/mote. Still, it will cost huge amount of money to apply and create sensor network in real world.
However, the sensor node technology has still outstanding issues such as sensor size , battery life cycle, cost for installation and data accuracy. To solve these issues many research and development project is still going on. By the Dust technologies, current sensor mote size is as small as 1cent, however, it can be recognized by eye, so it can easily exposed to enemy or general human beings who may regard it as “dust” and throw it away.
Second, limitation of battery life cycle can be an obstacle for the deployment. To extend battery’s life cycle there are several approaches has been researched and developed. In initial stage, it is proposed instead of battery, that solar cell is used. However, solar cell cannot minimized mote size and not efficient in energy transformation. Since then, instead on solar cell, acoustic noise and kinetic energy by vibration between the motes are replaced.
l Solar cell
l Energy source from human body (Temperature)
l Source from building(heat)
l Kinetic Energy (by Vibration, by Motion
l Acoustic Noise
Nowadays, other approach for better life cycle is researched by communication engineering area, which is to optimize sensor network To minimize battery exchange cost, there are several efficient communication routing protocol is proposed for example, SMedia Access Control by prof. Wei Ye.
Third, sensor mote’s price is not cheap. Recently, MEMS technology has dramatically led to the development of ultra small in size, low-power, low-cost sensor devices. However, cost is shrink down from 50$/mote to 1$/mote. Still, it will cost huge amount of money to apply and create sensor network in real world.
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