Adjustment Mechanism of Node Transmission Power

Hong Sheng Li; Ning Hui He

doi:10.4028/www.scientific.net/AMM.307.62

Paper Titles

Computer Simulation and Modelling of 3D Travelling Wave Ultrasonic Motor Using a Flexural Vibration Ring Transducer
p.31

Computer Simulation and Modelling of Standing Wave Ultrasonic Motor Using a Single Flexural Vibration Transducer
p.42

Time Optimal Control of Mechatronic Systems
p.53

Hybrid Controller Design for Two-Floors Structure against Northridge Earthquake
p.57

Adjustment Mechanism of Node Transmission Power
p.62

The Interactive Driving Profile Generation System
p.66

Research on Signal Transfer of GPR Used in Frontal Detecting of Tunnel Construction
p.75

Design of Test Bench for Transmission Efficiency of AMT Actuator
p.79

Master/Slave Robotic System for Teaching Motion-Force Manufacturing Tasks
p.84

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 307Adjustment Mechanism of Node Transmission Power

Adjustment Mechanism of Node Transmission Power

Abstract:

As to the power control protocol, in the CPC protocol each node uses the maximum transmit power choosed by all network nodes; the communication consumption of IPC protocol is smaller, but each node is using its own definition of transmission power, two-way link between nodes in the network can not be guaranteed. The sent power control based on data transmission can resolve the defaults of CPC and IPC.

You might also be interested in these eBooks

Mechatronics and Computational Mechanics

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 307)

Pages:

62-65

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.307.62

Citation:

Cite this paper

Online since:

February 2013

Authors:

Hong Sheng Li, Ning Hui He

Keywords:

Ant Colony Optimization Algorithm (ACOA), Power Control, Transmit Power

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Abuelgasim A, Ross W D, Gopal S, et al. Change detection using adaptive fuzzy neural networks: Environmental damage assessment after the Gulf War[J]. Remote Sensing of Environment Vol. 70 (1999).

DOI: 10.1016/s0034-4257(99)00039-5

Google Scholar

[2] Tian D, Georganas N D. A node scheduling scheme for energy conservation in large wireless sensor networks [J]. Wireless Communications and Mobile Computing Journal(2002).

DOI: 10.1002/wcm.116

Google Scholar

[3] Berman P, Calinescu G, Shah C, et al. Power efficient monitoring management in sensor networks[C]. Proceedings of 2004 IEEE Wireless Communications and Networking Conference. Atlanta: IEEE Press(2004).

DOI: 10.1109/wcnc.2004.1311452

Google Scholar

[4] Zhang H, Hou J C. Maintaining sensing coverage and connectivity in large sensor networks[J]. Wireless Ad-Hoc and Sensor Networks(2005).

DOI: 10.1201/9780203323687.ch28

Google Scholar

[5] Victor Shnayder, Mark Hempstead, Bor-rong Chen, Geoff Werner Allen, and Matt Welsh, Simulating the Power Consumption of Large-Scale Sensor Network Applications[J], In SenSys'04 (2004).

DOI: 10.1145/1031495.1031518

Google Scholar