Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/1142
Title: | The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks | Authors: | Cotuk, Hüseyin Bıçakcı, Kemal Tavlı, Bülent Uzun, Erkam |
Keywords: | Wireless Sensor Networks Discrete Power Levels Mathematical Programming Linear Programming Mixed İnteger Programming Energy Efficiency Bandwidth Network Lifetime Transmission Power Control |
Publisher: | IEEE Computer Soc. | Source: | Cotuk, H., Bicakci, K., Tavli, B., & Uzun, E. (2014). The impact of transmission power control strategies on lifetime of wireless sensor networks. IEEE Transactions on Computers, 63(11), 2866-2879. | Abstract: | 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 compare the 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. | URI: | https://ieeexplore.ieee.org/document/6572782 https://hdl.handle.net/20.500.11851/1142 |
ISSN: | 0018-9340 |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
Show full item record
CORE Recommender
SCOPUSTM
Citations
54
checked on Nov 16, 2024
WEB OF SCIENCETM
Citations
44
checked on Nov 9, 2024
Page view(s)
194
checked on Nov 18, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.