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Minimizing Power Consumption through Swinging Power Mode in Wireless Sensor Networks

Received: 18 October 2014    Accepted: 27 October 2014    Published: 30 October 2014
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Abstract

Wireless Sensor Networks have predefined objectives which require them to connect and communicate with other nodes. During communication these nodes transmit and receive data and other control packets. This paper proposes Swing-MAC, a Medium Access Control protocol for energy efficiency designed for wireless sensor networks. It adjusts transmission power level in a swinging mode where transmission power level keeps swinging between minimum and maximum requirement of the network. Minimum and maximum transmission power level is based on the expected coverage between nodes. As transmission power keeps swinging between two intervals on cyclic basis this leads to energy conservation resulting in a longer battery life. Simulation results show that Swing-MAC obtains significant energy savings compared with 802.11 MAC without sleeping.

Published in International Journal of Sensors and Sensor Networks (Volume 2, Issue 4)
DOI 10.11648/j.ijssn.20140204.12
Page(s) 37-41
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Transmission Power Control, Wireless Sensor Networks, Medium Access Control, MAC, Energy Conservation, Minimizing Transmission Power, WSN, TPC, Energy Efficiency

References
[1] Suan Khai Chong, Mohamed Medhat Gaber, Shonali Krishnaswamy, SengWai Loke, Energy conservation in wireless sensor networks: a rule-based approach, Knowledge Information Systems, DOI 10.1007/s10115-011-0380-x, Springer-Verlag London Limited 2011
[2] Moshaddique Al Ameen, S.M. Riazul Islam, and Kyungsup Kwak, Energy Saving Mechanisms for MAC Protocols in Wireless Sensor Networks, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2010
[3] Jorge M. Soares and Bruno J. Gonçalves, Rui M. Rocha, Practical issues in the development of a minimalistic power management solution for WSNs, Int. J. Sensor Networks, Vol. 8, Nos. 3/4, 2010, Inderscience Enterprises Ltd.
[4] Tao Shu, Marwan Krunz, Energy-efficient power/rate control and scheduling in hybrid TDMA/CDMA wireless sensor networks, Computer Networks 53 (2009) 1395–1408, Elsevier
[5] LI Cheng , WANG Kui-ru, ZHANG Jin-long, ZHAO De-xin, LI Wang, Optimization of listening time of S-MAC for wireless sensor networks, The Journal of China Universities of Posts and elecommunications, Issue 5,2009 Elsevier
[6] Bashir Yahya and Jalel Ben-Othman, Towards a classification of energy aware MAC protocols for wireless sensor networks, Wireless Communications And Mobile Computing, 2009 John Wiley & Sons, Ltd.
[7] Nikolaos A. Pantazis, Dimitrios J. Vergados , Dimitrios D. Vergados , Christos Douligeris, Energy efficiency in wireless sensor networks using sleep mode TDMA scheduling, Ad Hoc Networks 7 (2009) 322–343, Elsevier
[8] Jennifer Yick, Biswanath Mukherjee, Dipak Ghoshal, Wireless sensor network survey,Computer Networks, 52 (2008) 2292-2330,Elsevier
[9] Wen-Hwa Liao, Kuei-Ping Shih, Yu-Chee Lee, A localization protocol with adaptive power control in wireless sensor networks, Computer Communications 31 (2008) 2496–2504, Elsevier
[10] Paulo Sérgio Sausen, José Renato de Brito Sousa, Marco Aurélio Spohn , Angelo Perkusich, Antônio Marcus Nogueira Lima, Dynamic Power Management with Scheduled Switching Modes, Computer Communications 31 (2008) 3625–3637,Elsevier
[11] Celal Ceken, An energy efficient and delay sensitive centralized MAC protocol for wireless sensor networks, Computer Standards & Interfaces 30 (2008) 20–31, Elsevier
[12] Luiz H.A. Correia, Daniel F. Macedo, Aldri L. dos Santos, Antonio A.F. Loureiro, Jose´ Marcos S. Nogueira, Transmission power control techniques for wireless sensor networks, Computer Networks 51 (2007) 4765–4779, Elsevier
[13] Fernando Ordóñez, Bhaskar Krishnamachari, Optimal Information Extraction in Energy-Limited Wireless Sensor Networks, IEEE Journal on Selected Areas In Communications, Vol. 22, No. 6, August 2004, IEEE
[14] Abdelmalik Bachir, Mischa Dohler, Thomas Watteyne, Kin K. Leung, MAC Essentials for Wireless Sensor Networks, IEEE communications surveys & tutorials, vol. 12, no. 2, second quarter 2010
[15] Issa M. Khalil, ELMO: Energy Aware Local Monitoring in Sensor Networks, IEEE Transactions on Dependable and Secure Computing, Vol. 8, No. 4, July/August 2011
[16] Antonio G. Marques, Xin Wang, Georgios B. Giannakis, Minimizing Transmit Power for Coherent Communications in Wireless Sensor Networks With Finite-Rate Feedback, IEEE Transactions On Signal Processing, Vol. 56, No. 9, September 2008
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Cite This Article
  • APA Style

    Harish Kumar, Prashant Singh, Jai Prakash Gupta. (2014). Minimizing Power Consumption through Swinging Power Mode in Wireless Sensor Networks. International Journal of Sensors and Sensor Networks, 2(4), 37-41. https://doi.org/10.11648/j.ijssn.20140204.12

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    ACS Style

    Harish Kumar; Prashant Singh; Jai Prakash Gupta. Minimizing Power Consumption through Swinging Power Mode in Wireless Sensor Networks. Int. J. Sens. Sens. Netw. 2014, 2(4), 37-41. doi: 10.11648/j.ijssn.20140204.12

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    AMA Style

    Harish Kumar, Prashant Singh, Jai Prakash Gupta. Minimizing Power Consumption through Swinging Power Mode in Wireless Sensor Networks. Int J Sens Sens Netw. 2014;2(4):37-41. doi: 10.11648/j.ijssn.20140204.12

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  • @article{10.11648/j.ijssn.20140204.12,
      author = {Harish Kumar and Prashant Singh and Jai Prakash Gupta},
      title = {Minimizing Power Consumption through Swinging Power Mode in Wireless Sensor Networks},
      journal = {International Journal of Sensors and Sensor Networks},
      volume = {2},
      number = {4},
      pages = {37-41},
      doi = {10.11648/j.ijssn.20140204.12},
      url = {https://doi.org/10.11648/j.ijssn.20140204.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20140204.12},
      abstract = {Wireless Sensor Networks have predefined objectives which require them to connect and communicate with other nodes. During communication these nodes transmit and receive data and other control packets. This paper proposes Swing-MAC, a Medium Access Control protocol for energy efficiency designed for wireless sensor networks. It adjusts transmission power level in a swinging mode where transmission power level keeps swinging between minimum and maximum requirement of the network. Minimum and maximum transmission power level is based on the expected coverage between nodes. As transmission power keeps swinging between two intervals on cyclic basis this leads to energy conservation resulting in a longer battery life. Simulation results show that Swing-MAC obtains significant energy savings compared with 802.11 MAC without sleeping.},
     year = {2014}
    }
    

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    T1  - Minimizing Power Consumption through Swinging Power Mode in Wireless Sensor Networks
    AU  - Harish Kumar
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    T2  - International Journal of Sensors and Sensor Networks
    JF  - International Journal of Sensors and Sensor Networks
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    AB  - Wireless Sensor Networks have predefined objectives which require them to connect and communicate with other nodes. During communication these nodes transmit and receive data and other control packets. This paper proposes Swing-MAC, a Medium Access Control protocol for energy efficiency designed for wireless sensor networks. It adjusts transmission power level in a swinging mode where transmission power level keeps swinging between minimum and maximum requirement of the network. Minimum and maximum transmission power level is based on the expected coverage between nodes. As transmission power keeps swinging between two intervals on cyclic basis this leads to energy conservation resulting in a longer battery life. Simulation results show that Swing-MAC obtains significant energy savings compared with 802.11 MAC without sleeping.
    VL  - 2
    IS  - 4
    ER  - 

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Author Information
  • Department of Computer Science Sharda University, Greater Noida, Uttar Pradesh, India

  • Department of Information Technology, Northern India Engineering College, Delhi

  • Department of Computer Science Sharda University, Greater Noida, Uttar Pradesh, India

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