Solving Bottleneck Problem by Transmission Power Control under Various Compression Assumptions for Wireless Sensor Networks

Abstract:

In a wireless sensor network, sensor nodes located near the sink will have to bear more communication responsibilities in forwarding the data generated by the nodes located far from the sink. The nodes that are away from the sink communicate with the sink via the nodes that are nearby the sink. Thus the nodes nearby the sink will run out of battery power very soon and create bottleneck for communication. Some researches tried to balance the loading of sensors by adjusting the power range of sensors. However, simply reducing the power range does not always reduce the loading of sensors in the bottleneck zone. In this paper, both of the impacts of the transmission power range and compression gain on energy consumption of a wireless network are analyzed. Some simulation results are given to show the correctness of analysis results.

• Periodical: Applied Mechanics and Materials (Volumes 548-549)
• Pages: 1465-1470
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.548-549.1465
• Online since: April 2014
• Authors: Rei Heng Cheng*, Chi Ming Huang
• Keywords: Bottlenecks, Compression Ratio, Load Balance, Transmission Power Range, Wireless Sensor Network (WSN)

References

[1] Q. Wang, and T. Zhang, Bottleneck Zone Analysis in Energy-Constrained Wireless Sensor Networks, IEEE communications letters, vol. 13, no. 6, pp.423-425, (2009).

DOI: 10.1109/lcomm.2009.090119

[2] K. Padmanabh and R. Roy, Bottleneck around Base Station in Wireless Sensor Network and its Solution, The 3rd Annual International Conference on Mobile and Ubiquitous Systems, pp.1-5, (2006).

DOI: 10.1109/mobiqw.2006.361777

[3] Howard, M. J. Mataric, and G. S. Sukhatme, An Incremental Self-Deployment Algorithm for Mobile Sensor Networks, Autonomous Robots, vol. 13, pp.113-126, (2002).

[4] Pan, L. Cai, Y. T. Hou, Y. Shi, and S. X. Shen, Optimal base-station locations in two-tiered wireless sensor networks, IEEE Transactions on Mobile Computing, vol. 4, pp.458-473, (2005).

DOI: 10.1109/tmc.2005.68

[5] C. Huang, R.H. Cheng, W. Tung-Kuang, and C. Shau-Ruei, Localized Routing Protocols Based on Minimum Balanced Tree in Wireless Sensor Networks, " The 5th International Conference on Mobile Ad-hoc and Sensor Networks, MSN , 09, pp.503-510, (2009).

DOI: 10.1109/msn.2009.55

[6] K. Padmanabh, P. Gupta, and R. Roy, Transmission range management for lifetime maximization in wireless sensor network, International Symposium on Performance Evaluation of Computer and Telecommunication Systems, pp.138-142, (2008).

[7] F. Ye, G. Zhong, S. Lu, and L. Zhang, GRAdient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks, Wireless Networks, vol. 11, pp.285-298, (2005).

DOI: 10.1007/s11276-005-6612-9

[8] M. L. Sichitiu and R. Dutta, Benefits of Multiple Battery Levels for the Lifetime of Large Wireless Sensor Networks, Proceedings of Networking 2005, pp.1440-1444, (2005).

DOI: 10.1007/11422778_133

[9] Rei-Heng Cheng, Chiming Huang, Kuan-Fan Chen, Evaluation of Tier-Based Energy Consumption in Wireless Sensor Networks, The 2012 International Conference on Applied Materials and Electronics Engineering (AMEE 2012), (2012).

[10] R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, Energy-efficient communication protocol for wireless microsensor networks, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, vol. 2, p.10, (2000).

DOI: 10.1109/hicss.2000.926982