An Energy Model of the Ultra-Low-Power Transceiver nRF24L01 for Wireless Body Sensor Networks

In the recent years, Wireless Body Sensor Networks (WBSNs) attracted much attention in the research community. The key to success for WBSNs is the utilization of highly efficient transceivers and the application of intelligent policies to handle the limited (energy) resources. Simulations are a frequently used tool to evaluate different policies and analyze the performance of wireless networks in different configurations. The nRF24L01 is an ultra-low-power transceiver for the 2.4 GHz frequency band which is very well suited to build simple but efficient WBSNs. This work presents a detailed simulation model of the nRF24L01 for MiXiM, a simulation framework for wireless networks. The implementation is focused on tracking the transceiver’s energy consumption in operation. The presented simulation model is a valuable tool for network designers and implementers when working with the nRF24L01.

[1]  Daniel Willkomm,et al.  MiXiM: the physical layer an architecture overview , 2009, SimuTools.

[2]  Pravin Varaiya,et al.  Performance Analysis of Slotted Carrier Sense IEEE 802.15.4 Acknowledged Uplink Transmissions , 2008, 2008 IEEE Wireless Communications and Networking Conference.

[3]  V. Kumar,et al.  Designing wireless sensor network with low cost and low power , 2008, 2008 16th IEEE International Conference on Networks.

[4]  Chenglin Peng,et al.  A Small Low-Power Reliable Communication Module in a Wireless Monitoring System , 2007, 2007 1st International Conference on Bioinformatics and Biomedical Engineering.

[5]  Chao Hu,et al.  Protocol architecture for Wireless Body Area Network based on nRF24L01 , 2008, 2008 IEEE International Conference on Automation and Logistics.

[6]  E.-O. Blass,et al.  Towards a Realistic Energy Model for Wireless Sensor Networks , 2008, 2008 Fifth Annual Conference on Wireless on Demand Network Systems and Services.

[7]  Reinhard German,et al.  An Energy Model for Simulation Studies of Wireless Sensor Networks using OMNeT++ , 2009, Prax. Inf.verarb. Kommun..

[8]  Stefan Valentin,et al.  Simulating wireless and mobile networks in OMNeT++ the MiXiM vision , 2008, SimuTools.