Combining Power Adjustment and Node’s Movement for Connectivity Restoration in Sensor Networks

Chun Hui Wu; Hong Sheng Chen

doi:10.4028/www.scientific.net/AMM.644-650.2736

Paper Titles

The Framework Design of Wisdom Campus Based on the Network
p.2719

Study on the Construction of Campus Smart Card on Wisdom Campus Platform
p.2723

Advanced Virtual Clock Synchronization in Wireless Sensor Networks
p.2727

Research and Design of Agricultural Information Service Platform Based on Cross-Platform Technology
p.2731

Combining Power Adjustment and Node’s Movement for Connectivity Restoration in Sensor Networks
p.2736

An Anti-Piracy Method Based on Encryption and Dynamic Loading for Android Applications
p.2740

Research and Implementation of Design Data Management and Processing System
p.2744

Design of Home Wireless Network Platform Based on Zigbee
p.2751

Research on Key Technology of Webpage Tampering Prevention
p.2755

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Combining Power Adjustment and Node’s Movement for...

Combining Power Adjustment and Node’s Movement for Connectivity Restoration in Sensor Networks

Abstract:

Mobile sensor networks (MSNs) have many applications in recent years, especially in some harsh environment, such as battlefield reconnaissance. MSNs may suffer from a large-scale damage which causes many nodes to fail and the network to get partitioned into isolate islands. So in order to avoid negative effects on the application, restoring network connectivity is crucial in such case. In this paper, we propose a novel method, CPANMCR, which combines power adjustment and node’s movement to restore the network connectivity. In CPANMCR mainly include three phases: firstly detecting the boundary nodes of every isolate island, then adjusting the power of boundary node to restore the connection, and finally moving mobile nodes to the appropriate location to restore the connectivity of the entire network. Extensive simulation experiments demonstrate that the proposed method can guarantee network connectivity and reduce the total travel distance.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2736-2739

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2736

Citation:

Cite this paper

Online since:

September 2014

Authors:

Chun Hui Wu, Hong Sheng Chen*

Keywords:

Connectivity Restoration, Mobile Sensor Networks, Node Movement, Power Adjustment

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] G. Wang, G. Cao, T. L. Porta, and W. Zhang, Sensor relocation in mobile sensor networks, (INFOCOM 2005), Miami, FL, March (2005).

Google Scholar

[2] P. Juang, et al. Energy-efficient computing for wildlife tracking: design tradeoffs andearly experiences with zebranet, SIGOPS Oper. Syst. Rev., 36(5): 96-107, (2002).

DOI: 10.1145/635508.605408

Google Scholar

[3] S. Mahdi Jameii, A. Nikdel and K. Faez, An Intelligent Topology Control Protocol for Wireless Sensor Networks, in Proc. of ICCSE, (2012).

DOI: 10.1109/iccse.2012.6295069

Google Scholar

[4] F. Senel, M. Younis，Relay node placement in structurally damaged wireless sensor networks via triangular steiner tree approximation[J], Computer Communications , vol. 34, p.1932–1941, (2011).

DOI: 10.1016/j.comcom.2011.05.010

Google Scholar

[5] M. Sir, I. Senturk, E. Sisikoglu, and K. Akkaya, An optimization-based approach for connecting partitioned mobile sensor/actuator networks, (INFOCOM 2011), April 2011, Shanghai, China.

DOI: 10.1109/infcomw.2011.5928869

Google Scholar