Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
Source : 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2016).
Url : http://ieeexplore.ieee.org/document/7732448/
Keywords : Algorithm analysis, algorithm complexity, Algorithm design and analysis, Complexity, Complexity theory, Computational complexity, Energy utilization, mote, Power Consumption, power consumption analysis, Power demand, Power measurement, real-time measurements, telecommunication power management, Voltage measurement, Waspmote, wireless communication, Wireless sensor networks, wireless sensor nodes, WSN.
Campus : Amritapuri
School : School for Sustainable Futures, School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Wireless Networks and Applications (AWNA)
Year : 2016
Abstract : Nowadays wireless sensor networks are implemented in a variety of fields to obtain real-time measurements. These networks are comprised of small, low cost devices called wireless sensor nodes (WSN). There are different types of wireless sensor nodes available in the market. Based on the requirements, wireless sensor nodes can be selected for each application. Power consumption is a major aspect in developing wireless sensor applications. In this paper, analysis of power consumption in different sensor nodes is conducted based on algorithms with different complexities. The experimental analysis results show that at a particular input current limit, Waspmote consumes 15% less power than MICAz mote in the case of O (1), 11.04% less in the case of O (n), 7.6% less in the case of O (n2), 3.9% less in case of O (log n) and 18.06% less in case of O (m+n)complex algorithms.
Cite this Research Publication : V. M. Lekshmy, Rekha, P., and Dr. Maneesha V. Ramesh, “Impact of algorithm complexity on energy utilization of wireless sensor nodes”, in 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016.
