Adaptive Transmit Power Adjustment Technique for ZigBee Network under Wi-Fi Interference

Energy consumption is one of the most fundamental constraints in wireless sensor network (WSN) design. While data transmission is usually the most energy consuming event, minimizing the transmit power under the condition of satisfying the required packet transmission quality would be an important and effective strategy for reducing energy consumption. In this paper, a novel Adaptive Transmit Power Adjustment technique (ATPA) for ZigBee network under Wi-Fi interference is proposed and implemented in the Crossbow MICAz motes of our testbed. The proposed ATPA technique dynamically and rapidly adapts to the varying interference from the collocated wireless local area network (WLAN) and selects optimal transmit power level that not only decreases the energy consumption of packet transmissions, but also maintains the required packet loss rate (PLR). The effectiveness of ATPA has been validated through the comprehensive performance evaluation experiments conducted on our testbed.

[1]  Vikas Kawadia,et al.  Power control and clustering in ad hoc networks , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[2]  Vijay Sivaraman,et al.  Transmission Power Control in Body Area Sensor Networks for Healthcare Monitoring , 2009, IEEE Journal on Selected Areas in Communications.

[3]  Jan M. Rabaey,et al.  Distributed algorithms for transmission power control in wireless sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[4]  Janne Riihijärvi,et al.  Interference Measurements on Performance Degradation between Colocated IEEE 802.11g/n and IEEE 802.15.4 Networks , 2007, Sixth International Conference on Networking (ICN'07).

[5]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[6]  Matteo Bertocco,et al.  Experimental Study of Coexistence Issues Between IEEE 802.11b and IEEE 802.15.4 Wireless Networks , 2008, IEEE Transactions on Instrumentation and Measurement.

[7]  Younggoo Kwon,et al.  ODTPC: On-demand Transmission Power Control for Wireless Sensor Networks , 2008, 2008 International Conference on Information Networking.

[8]  A. Speranzon,et al.  On power control for wireless sensor networks: System model, middleware component and experimental evaluation , 2007, 2007 European Control Conference (ECC).

[9]  Paramvir Bahl,et al.  A cone-based distributed topology-control algorithm for wireless multi-hop networks , 2005, IEEE/ACM Transactions on Networking.

[10]  Xinming Zhang,et al.  A Transmission Power Control MAC Protocol for Wireless Sensor Networks , 2007, Sixth International Conference on Networking (ICN'07).

[11]  H. T. Mouftah,et al.  Interference Aware Adaptive Clear Channel Assessment for improving ZigBee packet transmission under Wi-Fi interference , 2013, 2013 IEEE International Conference on Sensing, Communications and Networking (SECON).

[12]  H. T. Mouftah,et al.  Study of clear channel assessment mechanism for ZigBee packet transmission under Wi-Fi interference , 2013, 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC).

[13]  Antonio Pescapè,et al.  A tool for the generation of realistic network workload for emerging networking scenarios , 2012, Comput. Networks.

[14]  Ghufran Ahmed,et al.  Modified on demand transmission power control for wireless sensor networks , 2011, 2011 International Conference on Information and Communication Technologies.

[15]  H. T. Mouftah,et al.  ACK with Interference Detection Technique for ZigBee Network under Wi-Fi Interference , 2013, 2013 Eighth International Conference on Broadband and Wireless Computing, Communication and Applications.

[16]  Li Li,et al.  Distributed topology control for power efficient operation in multihop wireless ad hoc networks , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[17]  Sang Hyuk Son,et al.  ATPC: Adaptive Transmission Power Control for Wireless Sensor Networks , 2016, TOSN.

[18]  Paramvir Bahl,et al.  Analysis of a cone-based distributed topology control algorithm for wireless multi-hop networks , 2001, PODC '01.