Conceptual representation and Survey of Dynamic Power Management (DPM) in Wireless Sensor Network

A Wireless Sensor Network (WSN) comprises many sensor nodes each one containing a processing unit, one or more sensor, a radio for data communication and power unit usually equipped with a low capacity battery. All sensors present in wireless sensor network are battery operated devices which have limited battery power. After the deployment of sensor nodes it is not possible to replace each and every battery in the network. Therefore optimal energy consumption for WSN protocol is a necessity. In a number of proposed protocols periodic sleep and wake time is used for the reducing the consumption of energy but these protocols result in increased end to end delay. In this research paper an improvement has been made, we propose an energy efficient dynamic power management technique which shuts down the sensor node when there is no work. The basic idea behind is to shut down the sensor devices when not needed and wake them up when necessary which yields better savings of energy and enhance lifetime.

[1]  Nagendra Prasad Mandru OPTIMAL POWER MANAGEMENT IN WIRELESS SENSOR NETWORKS FOR ENHANCED LIFE TIME , 2012 .

[2]  A.P. Chandrakasan,et al.  Standby power reduction using dynamic voltage scaling and canary flip-flop structures , 2004, IEEE Journal of Solid-State Circuits.

[3]  Zhiyuan Ren,et al.  Sentry-Based Power Management in Wireless Sensor Networks , 2003, IPSN.

[4]  Robert Szewczyk,et al.  System architecture directions for networked sensors , 2000, ASPLOS IX.

[5]  Anantha Chandrakasan,et al.  Dynamic Power Management in Wireless Sensor Networks , 2001, IEEE Des. Test Comput..

[6]  Antonio Alfredo Ferreira Loureiro,et al.  Dynamic Power Management in Wireless Sensor Networks: An Application-Driven Approach , 2005, Second Annual Conference on Wireless On-demand Network Systems and Services.

[7]  Allen C.-H. Wu,et al.  A predictive system shutdown method for energy saving of event-driven computation , 1997, 1997 Proceedings of IEEE International Conference on Computer Aided Design (ICCAD).

[8]  Luca Benini,et al.  Policy optimization for dynamic power management , 1998, Proceedings 1998 Design and Automation Conference. 35th DAC. (Cat. No.98CH36175).

[9]  Bishop Brock,et al.  Dynamic Power Management for Embedded Systems , 2003 .