The impact of the transmission power range on energy consumption for wireless sensor networks

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 f rom the sink. The nodes which a re away from the sink communicate with the sink via the nodes which are in proximity of sink. Thus the nodes which are in proximity of 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, the impact of the transmission power range on energy consumption of a wireless network is analyzed. Some simulation results are given to show how the transmission power setting affects the energy consumption of wireless networks.

[1]  Songwu Lu,et al.  GRAdient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks , 2005, Wirel. Networks.

[2]  K. Padmanabh,et al.  Transmission range management for lifetime maximization in wireless sensor network , 2008, 2008 International Symposium on Performance Evaluation of Computer and Telecommunication Systems.

[3]  Rudra Dutta,et al.  Benefits of Multiple Battery Levels for the Lifetime of Large Wireless Sensor Networks , 2005, NETWORKING.

[4]  Kumar Padmanabh,et al.  Bottleneck around Base Station in Wireless Sensor Network and its Solution , 2006, 2006 Third Annual International Conference on Mobile and Ubiquitous Systems: Networking & Services.

[5]  Gaurav S. Sukhatme,et al.  An Incremental Self-Deployment Algorithm for Mobile Sensor Networks , 2002, Auton. Robots.

[6]  Rei-Heng Cheng,et al.  Localized Routing Protocols Based on Minimum Balanced Tree in Wireless Sensor Networks , 2009, 2009 Fifth International Conference on Mobile Ad-hoc and Sensor Networks.

[7]  Wendi Heinzelman,et al.  Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks , 2022 .

[8]  Tingting Zhang,et al.  Bottleneck zone analysis in energy-constrained wireless sensor networks , 2009, IEEE Communications Letters.

[9]  Jianping Pan,et al.  Optimal base-station locations in two-tiered wireless sensor networks , 2005, IEEE Transactions on Mobile Computing.