The week's pick
Reseach Article
An Energy-based Wireless Sensor Network Model to Improve the Performance of the Internet of Things
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 174 - Number 18 |
| Year of Publication: 2021 |
| Authors: Sharaf Alhomdy, Mohammed Q. AL_shamiry, Ghaleb Al-Gafary |
10.5120/ijca2021921063
|
Sharaf Alhomdy, Mohammed Q. AL_shamiry, Ghaleb Al-Gafary . An Energy-based Wireless Sensor Network Model to Improve the Performance of the Internet of Things. International Journal of Computer Applications. 174, 18 ( Feb 2021), 1-9. DOI=10.5120/ijca2021921063
Abstract
Internet of Things (IoT) plays an important role by bringing together people, process, data, and things to make networked connections more relevant and valuable. The devices of the IoTs sense environmental conditions using Wireless Sensor Networks (WSNs), so WSN are the most important components of the IoT. WSN is a widespread network used in many IoT applications and any improvement in WSN reflects positively on IoT. There are many important issues related to WSN such as energy consumption, end-to-end delay, and packet loss rate. This paper aims to propose efficient control system model to improve the Quality of Service (QoS) requirements and maximize the resource utilization in WSN, through adapts the data rate that should be used by the source nodes, and determine the appropriate routing protocol to work in the network according to the network conditions. Castalia 3.2 and XEEMU-1.0 simulators were used to evaluate the control system model performance with taking into account different network scenarios. The simulation results showed the efficiency of the proposed Model in terms of reducing power consumption, end-to-end delay, and packet loss rate compared to the other schemes.
References
- O. Vermesan, P. Friess, P. Guillemin, H. Sundmaeker, et al., (2013), “Inter- net of Things Strategic Research and Innovation Agenda”, River Publishers, ISBN 978–87-92982–73-5.
- Salem Belhaj, Sofian Hamad,(2018), "Routing protocols from wireless sensor networks to the internet of things: An overview", International Journal of Advanced and Applied Sciences, Pages: 47-63.
- Varun Sharma, and Somesh Sharma, (2017)," Low Energy Consumption based Patient Health Monitoring by LEACH Protocol" International Conference on Inventive Systems and Control (ICISC).
- Youngbok Cho, Minkang Kim, and Sunghee Woo, (2018), " Energy Efficient IoT based on Wireless Sensor Networks for Healthcare " International Conference on Advanced Communications Technology(ICACT).
- Yan Sun, Junpeng Guo, and Yuhui Yao,( July 2017), "Speed Up-Greedy Perimeter StatelessRouting Protocol for Wireless Sensor Networks (SU-GPSR)", IEEE.
- Anupkumar M Bongale, et al ,(2017)," EiP-LEACH: Energy influenced Probability based LEACH Protocol for Wireless Sensor Network", International Conference on Emerging Trends & Innovation in ICT (ICEI).
- HONGYAN XIN, AND XUXUN LIU,( September 2017)," Energy-Balanced Transmission With Accurate Distances for Strip-Based Wireless Sensor Networks", IEEE.
- Hui Chen, Feng Wang, and Mu Zhang,( 2017 ), "An Improved Inter-Cluster Multi-hop LEACH Protocol Oriented Reliable Transmission in WSNs" IEEE International Conference on Computer and Communications
- Hasna Dhehibi, et al,( 2017), " An Enhancement of MOD-LEACH protocol for Wireless Sensor Network ", International Multi-Conference on Systems, Signals & Devices (SSD).
- Sabin Bhandari, et al ,( 2017 )," Cloud-Assisted Device Clustering for Lifetime Prolongation in Wireless IoT Networks" , IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE).
- Mengkun , Huan , et al,( July 2017)," An Improved GPSR Protocol Based on Stratification of Traffic Density", International Conference on Information and Automation (ICIA) Macau SAR, China.
- Moad Mowafi, et al ,(2018),”Fuzzy Logic Based Cross-Layer Design for Wireless Multimedia Sensor Networks”, International Journal of Computational Intelligence Systems.
- Padmalaya Nayak, and D. Anurag,(2015) "A Fuzzy Logic based Clustering Algorithm for WSN to extend the Network Lifetime ", DOI 10.1109/JSEN.2472970, IEEE Sensors Journal.
- Prof. Elmer Dadios (Ed.), (2012), A Mamdani Type Fuzzy Logic Controller, Fuzzy Logic - Controls, Concepts, Theories. AndApplications, ISBN: 978-953-51-0396-7. http://web.univ-pau.fr/~cpham/WSN-MODEL/wvsn.html
- The Castalia simulator. http://castalia.research.nicta.com.au/index.php/en
- N.K.R. Johari,( july 2012), “Power Profiling and Analysis of MI-Benchmarks Using Xscale Power Simulator (XEEMU),” Global Journals Inc.(USA), vol.12, no. 7.
- OMNeT++ network simulation framework. http://www.omnetpp.org/.
- Thi Nguyen, et al,(2019),“Enhancing Energy Efficiency of WSNs through a novel Fuzzy Logic based on LEACH Protocol”,International Symposium on Communications and Information Technologies (ISCIT).
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