Please wait a minute...
Frontiers of Computer Science

ISSN 2095-2228

ISSN 2095-2236(Online)

CN 10-1014/TP

Postal Subscription Code 80-970

2018 Impact Factor: 1.129

Front. Comput. Sci.    2010, Vol. 4 Issue (3) : 365-375    https://doi.org/10.1007/s11704-010-0386-7
Research articles
Packet transmission policies for battery operated wireless sensor networks
Ye LI,Honggang LI,Yuwei ZHANG,Dengyu QIAO,
Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China;
 Download: PDF(341 KB)  
 Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks
Abstract With the concept of “Cognitive Sense of China” and “Smart Planet” proposed, wireless sensor networking is considered to be one of the most important technologies of the new century. In wireless sensor networks, how to extend battery lifetime is a core problem. In this paper, we address the problem of designing battery-friendly packet transmission policies for wireless sensor networks. Our objective is to maximize the lifetime of batteries for wireless sensor nodes subject to certain delay constraints. We present three packet transmission schemes and evaluate them with respect to battery performance. The first scheme, based on combining multiple packets, utilizes battery charge recovery effect, which allows some charge to be recovered during long idle periods. The second scheme, based on a modified version of lazy packet scheduling, draws smoother and lower current and is battery efficient. The final scheme, based on a combination of the two previous schemes has superior battery performance at the expense of larger average packet delay. All three schemes are simulated for a wireless network framework with internet traffic, and the results were validated.
Keywords battery friendly      lazy packet      wireless sensor networks      packet transmission      
Issue Date: 05 September 2010
 Cite this article:   
Ye LI,Honggang LI,Yuwei ZHANG, et al. Packet transmission policies for battery operated wireless sensor networks[J]. Front. Comput. Sci., 2010, 4(3): 365-375.
 URL:  
https://academic.hep.com.cn/fcs/EN/10.1007/s11704-010-0386-7
https://academic.hep.com.cn/fcs/EN/Y2010/V4/I3/365
Park S,Savvides A, Srivastava M B. Battery capacity measurementand analysis using lithium coin cell battery. In: Proc. ISLPED, Aug. 2001, 382–387
Kim J, Lee S, Cho B. Discrimination of battery characteristicsusing discharging/charging voltage pattern recognition. In: IEEE Conf. on Energy conversion congress and exposition,Sept. 2009, 1799–1805
Rakhmatov D. Modeling and optimization of energy supply and demandfor portable reconfigurable electronic systems. Ph.D Dissertation, The University of Arizona, 2002
Rakhmatov D, Vrudhula S, Wallach D A. A model for battery lifetimeanalysis for organizing applications on a pocket computer. IEEE Trans. Very Large Scale Integration (VLSI)Systems, 2003, 11(6): 1019–1030
Kroeze R C, Krein P T. Electrical battery model for use in dynamic electric vehicle simulations. In: Proc. PESC 2008, June 2008, 1336–1342
Chiasserini C F, Rao R R. Energy efficientbattery management. In: Proceedings of Infocom 2000, Tel Aviv, 2001, 396–403
Zhang J C, Ci S, Sharif H, Alahmad M. An enhanced circuit-based model for single-cell battery. In: IEEE Applied power electronics conference and exposition, Feb. 2010, 672–675
Ma C, Yang Y. A battery awarescheme for energy efficient coverage and routing in wireless meshnetworks. In: Proc. GLOBECOM’07,Nov. 2007, 1113–1117
Padmanabh K, Roy R. Maximum lifetimerouting in wireless sensor network using realistic battery model. In: Proceedings of HPSR’06, Jun. 2006, 155–160
Chowdhury P, Chakrabarti C. Statictask-scheduling algorithms for battery-powered DVS systems. IEEE Trans. Very Large Scale Integration (VLSI)Systems, 2005, 13(2): 226–237
Luo J, Jha N K. Battery-aware static scheduling for distributed real-time embedded system. In: Proceedings of DAC 2001, 444–449
Lahiri K, Dey S., Raghunathan A. Communication based power management. Design&Test of Computers,IEEE, 2002, 19(4): 118–130

doi: 10.1109/MDT.2002.1018140
Jayashree S, Manoj B S, Murthy C S R. Next step in MAC evolution:battery awareness? In: Proceedings of GLOBECOM’04,Dec. 2004, 2786–2790
Chiasserini C F, Rao R R. Improving battery performance by using traffic shaping techniques. IEEE Journal on Selected Areas in Communications, 2001, 19(7): 1385–1394

doi: 10.1109/49.932705
Chiasserini C F, Rao R R. A traffic control scheme to optimize the battery pulsed discharge. In: Proceedings of MILCOM 1999, 2: 1419–1423
Nuggehalli P, Srinivasan V, Rao R R. Energy efficient transmissionscheduling for delay constrained wireless networks. IEEE Trans. On Wireless Communications, 2006, 5(3): 531–539

doi: 10.1109/TWC.2006.1611083
Prabhakar B, Biyikoglu E U, Gamal A E. Energy-efficient transmissionover a wireless link via lazy packet scheduling. In: Proceedings of INFOCOM 2001, Apr. 2001, 386–394
Cho S H, Chandrakasan A P. Energy efficient protocols for low duty cycle wireless microsensornetworks. In: Proceedings of ICASSP’01, vol.4, May 2001, 2041–2044
Li Y, Chakrabarti C. Packet transmission policies for battery operated communication systems. In: Proceedings of SIPS 2004, 71–76
Brooks D, Tiwari V, Martonosi M. Wattch: a framework for architectural-levelpower analysis and optimizations. Computer Architecture, 2000, 83–94
[1] Bartłomiej PŁACZEK. Decision-aware data suppression in wireless sensor networks for target tracking applications[J]. Front. Comput. Sci., 2017, 11(6): 1050-1060.
[2] Chengliang WANG,Yayun PENG,Debraj DE,Wen-Zhan SONG. DPHK: real-time distributed predicted data collecting based on activity pattern knowledge mined from trajectories in smart environments[J]. Front. Comput. Sci., 2016, 10(6): 1000-1011.
[3] Bin WANG,Xiaochun YANG,Guoren WANG,Ge YU,Wanyu ZANG,Meng YU. Energy efficient approximate self-adaptive data collection in wireless sensor networks[J]. Front. Comput. Sci., 2016, 10(5): 936-950.
[4] Jun XU, Xuehai ZHOU, Feng YANG. Traceback in wireless sensor networks with packet marking and logging[J]. Front Comput Sci Chin, 2011, 5(3): 308-315.
[5] Defu CHEN, Zhengsu TAO. An adaptive polling interval and short preamble media access control protocol for wireless sensor networks[J]. Front Comput Sci Chin, 2011, 5(3): 300-307.
[6] Jiannong CAO, Xuefeng LIU, Yi LAI, Hejun WU, . iSensNet: an infrastructure for research and development in wireless sensor networks[J]. Front. Comput. Sci., 2010, 4(3): 339-353.
[7] Wei QU, Zhe LI, . Research of localization approach for the new comer in wireless sensor networks[J]. Front. Comput. Sci., 2009, 3(4): 543-549.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed