The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks

Transmission power control has paramount importance in the design of energy-efficient wireless sensor networks (WSNs). In this paper, we systematically explore the effects of various transmission power control strategies on WSN lifetime with an emphasis on discretization of power levels and strategies for transmission power assignment. We investigate the effects of the granularity of power levels on energy dissipation characteristics through a linear programming framework by modifying a well known and heavily utilized continuous transmission power model (HCB model). We also investigate various transmission power assignment strategies by using two sets of experimental data on Mica motes. A novel family of mathematical programming models are developed to analyze the performance of these strategies. Bandwidth requirements of the proposed transmission power assignment strategies are also investigated. Numerical analysis of our models are performed to characterize the effects of various design parameters and to comparethe relative performance of transmission power assignment strategies. Our results show that the granularity of discrete energy consumption has a profound impact on WSN lifetime, furthermore, more fine-grained control of transmission power (i.e., link level control) can extend network lifetime up to 20% in comparison to optimally-assigned network-level single transmission power.

[1]  Marco Zuniga,et al.  Analyzing the transitional region in low power wireless links , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[2]  A. Ledeczi,et al.  Node-density independent localization , 2006, 2006 5th International Conference on Information Processing in Sensor Networks.

[3]  Joongseok Park,et al.  Maximum Lifetime Routing In Wireless Sensor Networks ∗ , 2005 .

[4]  Lin Cai,et al.  Joint routing and link rate allocation under bandwidth and energy constraints in sensor networks , 2009, IEEE Transactions on Wireless Communications.

[5]  Qin Wang,et al.  Energy Consumption Model for Power Management in Wireless Sensor Networks , 2007, 2007 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[6]  Jehn-Ruey Jiang,et al.  Localization with Rotatable Directional Antennas for Wireless Sensor Networks , 2010, 2010 39th International Conference on Parallel Processing Workshops.

[7]  G. Nemhauser,et al.  Integer Programming , 2020 .

[8]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[9]  Celso C. Ribeiro,et al.  Optimal solutions for fault-tolerant topology control in wireless ad hoc networks , 2009, IEEE Transactions on Wireless Communications.

[10]  Nauman Aslam,et al.  Clustering with Discrete Power Control in Wireless Sensor Networks , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[11]  Wendi B. Heinzelman,et al.  General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment Strategies , 2008, IEEE Transactions on Mobile Computing.

[12]  Bülent Tavli,et al.  The impact of one-time energy costs on network lifetime in wireless sensor networks , 2009, IEEE Communications Letters.

[13]  Patrick Drane,et al.  Discrete Radio Power Level Consumption Model in Wireless Sensor Networks , 2007, 2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems.

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

[15]  Chenyang Lu,et al.  Robust topology control for indoor wireless sensor networks , 2008, SenSys '08.

[16]  Qingfu Zhang,et al.  An Evolutionary Algorithm to a Multi-Objective Deployment and Power Assignment Problem in Wireless Sensor Networks , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[17]  Mark A. Shayman,et al.  Lifetime Maximizing Adaptive Traffic Distribution and Power Control in Wireless Sensor Networks , 2006 .

[18]  Deborah Estrin,et al.  Cyclops: in situ image sensing and interpretation in wireless sensor networks , 2005, SenSys '05.

[19]  Ghosh Pradipta,et al.  Analysis of Network Lifetime for Wireless Sensor Network , 2011 .

[20]  Mohamed F. Younis,et al.  A survey on routing protocols for wireless sensor networks , 2005, Ad Hoc Networks.

[21]  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..

[22]  Anantha Chandrakasan,et al.  Bounding the lifetime of sensor networks via optimal role assignments , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[23]  Ishbel Duncan,et al.  A Survey of Transmission Power Control in Wireless Sensor Networks , 2007 .

[24]  Nauman Aslam,et al.  Performance analysis of WSN clustering algorithms using discrete power control , 2009 .

[25]  I-Shyan Hwang,et al.  Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error , 2011, Sensors.

[26]  Mario Di Francesco,et al.  Energy conservation in wireless sensor networks: A survey , 2009, Ad Hoc Networks.

[27]  M. Victoria Bueno-Delgado,et al.  Performance evaluation of MAC transmission power control in wireless sensor networks , 2007, Comput. Networks.