An Efficient Sleeping Scheduling for Save Energy Consumption in Wireless Sensor Networks

Article Preview

Abstract:

Smart grid has become one hot topic at home and abroad in recent years. Wireless Sensor Networks (WSNs) has applied to lots of fields of smart grid, such as monitoring and controlling. We should ensure that there are enough active sensors to satisfy the service request. But, the sensor nodes have limited battery energy, so, how to reduce energy consumption in WSNs is a key challenging. Based on this problem, we propose a sleeping scheduling model. In this model, firstly, the sensor nodes round robin is used to let as little as possible active nodes while all the targets in the power grid are monitored; Secondly, for removing the redundant active nodes, the sensor nodes round robin is further optimized. Simulation result indicates that this sleep mechanism can save the energy consumption of every sensor node.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

2288-2293

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Peter Wolfs, Syed Isalm, Potential Barriers to Smart Grid Technology in Australia, Power Engineering Conference, pp.1-6, (2009).

Google Scholar

[2] Gopalakrishnan lyer, prathima Agrawal, Smart Power Grids, 42nd South Eastern Symposium on System Theory, USA, (2010).

Google Scholar

[3] Vehbi C. Gungor, Bin Lu, Opportunities and Challenges of Wireless Sensor Networks In Smart Grid, IEEE Transactions on Industrial Electronics, Vol. 57, no. 10, p.3557 – 3564, (2010).

DOI: 10.1109/tie.2009.2039455

Google Scholar

[4] Wang yangguang, Yin xinggen, Application of Wireless Sensor Networks in Smart Grid, Power System Technology, vol. 34, no. 5, pp.7-11, (2010).

Google Scholar

[5] Tian D, Georganas N D, A coverage-preserving node scheduling scheme for large wireless sensor networks, In First ACM International Workshop on Wireless Sensor Networks and Applications.

DOI: 10.1145/570738.570744

Google Scholar

[6] Deng J, Han Y S, Balanced-energy sleep scheduling scheme for high density cluster-based sensor networks, Applications and Services in Wireless Networks, pp.99-108, (2004).

DOI: 10.1109/aswn.2004.185160

Google Scholar

[7] Liu Hai, Wan Peng-jun, Maximal Lifetime Scheduling in Sensor Surveillance Networks, Conference of the IEEE Computer and Communications Societies, vol. 4, pp.2482-2491, (2005).

DOI: 10.1109/infcom.2005.1498533

Google Scholar