Low power embedded controlled sensor network for agricultural applications

Designing low power embedded controlled sensor networks is always the interest of engineers, scientist and the users. It is desired to have a sensor network which requires little power thereby saving cost and the inconveniences of having to replace batteries in some difficult access areas of usage. In this paper novel approaches to implementation of an energy efficient embedded sensor network are analyzed and benchmarked. The main focus is on exploring energy efficient mechanisms to minimize the energy at various block levels such as the micro-controller, the communicating radio, and the sensors. The issue is also to investigate a low power mechanism by proposing an application specific micro-controller and energy efficient clustering algorithm. The paper also describes the implementation of sensor applications for agriculture, such as measurement of soil humidity, luminosity and temperature etc. The proposed agricultural embedded controlled system collects the soil information through sensors and sends it by a linux based router to the internet.

[1]  M. Lundberg,et al.  Context aware power optimizations of wireless embedded Internet systems , 2004, Proceedings of the 21st IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.04CH37510).

[2]  Kristofer S. J. Pister,et al.  Smart Dust: Communicating with a Cubic-Millimeter Computer , 2001, Computer.

[3]  Vaneet Singh,et al.  Energy Efficient Mechanisms in Embedded Controlled Sensor Networks , 2012 .

[4]  Deborah Estrin,et al.  Next Century Challenges: Mobile Networking for Smart Dust , 1999, MobiCom 1999.

[5]  J. Mills-Beale,et al.  A Wireless, Passive Embedded Sensor for Real-Time Monitoring of Water Content in Civil Engineering Materials , 2008, IEEE Sensors Journal.

[6]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[7]  David E. Culler,et al.  Mica: A Wireless Platform for Deeply Embedded Networks , 2002, IEEE Micro.

[8]  Edward Finch Embedded Internet Systems: Applications in Construction , 1998 .

[9]  Antonio Mauro Saraiva,et al.  From wireless sensors to field mapping: Anatomy of an application for precision agriculture , 2007 .

[10]  Per Lindgren,et al.  MULLE: a minimal sensor networking device : implementation and manufacturing challenges , 2004 .

[11]  D.P. Agrawal,et al.  APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless , 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

[12]  Imrich Chlamtac,et al.  Energy Efficient Design of Wireless Ad Hoc Networks , 2002, NETWORKING.

[13]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[14]  S. Amutha,et al.  SYSTEM ARCHITECTURE FOR WIRELESS SENSOR NETWORKS , 2014 .

[15]  C. Ayday,et al.  Application of Wireless Sensor Networks with GIS on the Soil Moisture Distribution Mapping , 2009 .

[16]  Lothar Thiele,et al.  Prototyping Wireless Sensor Network Applications with BTnodes , 2004, EWSN.

[17]  Cem Ersoy,et al.  MAC protocols for wireless sensor networks: a survey , 2006, IEEE Communications Magazine.

[18]  Nadeem Javaid,et al.  Survey of Extended LEACH-Based Clustering Routing Protocols for Wireless Sensor Networks , 2012, 2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems.

[19]  Bo Li,et al.  A survey of transport protocols for wireless sensor networks , 2006, IEEE Network.