Open Access
Subscription Access
M/G/1 QUEUE-BASED REDUCTION OF POWER CONSUMPTION AND LATENCY IN WIRELESS SENSOR NETWORKS
Subscribe/Renew Journal
Longevity of wireless sensor networks (WSN) is dependent on the optimal utilization of power supply. To make optimal utilization of power and increase the operational life of the network, we present two techniques with the goal of decreasing the consumption of power in a sensor node by incorporating queuing theory. We analyze the performance of wireless sensor networks that implement a M/G/1 queue with two different queuing policies. The analysis is done with respect to two important aspects: power consumption and latency delay. The results of the analysis illustrate the fact that the power consumed at a wireless sensor node can be reduced significantly by optimal selection of thresholds. We also compare the two policies in terms of power consumption and latency and find that the Min (N, T) policy is better equipped to not only reduce the power consumption but also reduces the latency delay caused due to the introduction of the queuing thresholds. The results indicate that the schemes studied can be implemented in practical scenarios as they are effective in reducing power consumption and increasing the operational life of a WSN.
Keywords
Energy, Latency, Probability, Queuing Analysis, Wireless Sensor Networks.
Subscription
Login to verify subscription
User
Font Size
Information
- Sheetal Kokare and R.D. Kamble, “Spectrum Sensing Techniques in Cognitive Radio Cycle”, International Journal of Engineering Trends and Technology, Vol. 9, 2014.
- Ejaz Ahmed, Abdullah Gani, Liu Jie Yao and Samee U. Khan, “Channel Assignment Algorithms in Cognitive Radio Networks: Taxonomy, Open Issues, and Challenges”, IEEE Communications Surveys and Tutorials, Vol. 18, No. 1, pp. 795-823, 2016.
- Manal El Tanab and Walaa Hamouda, “Resource Allocation for Underlay Cognitive Radio Networks: A Survey”, IEEE Communications Surveys and Tutorials, Vol. 19, No. 2, pp. 1249-1276, 2017.
- Anna Wisniewska, “Spectrum sharing in Cognitive Radio Networks: A Survey”, PhD Dissertation, Department of Computer Science, City University of New York Graduate Center, pp. 1-245, 2014.
- Tulika Mehta, Naresh Kumar and Surender S Saini, “Comparison of Spectrum Sensing Techniques in Cognitive Radio Networks”, International Journal of Electronics and Communication Technology, Vol. 4, No. 1, pp. 1-12, 2013.
- Mansi Subhedar and Gajanan Birajdar, “Spectrum Sensing Techniques in Cognitive Radio Networks: A Survey”, International Journal of Next-Generation Networks, Vol. 3, No. 2, pp. 23-29, 2011.
- Ying Chang Liang, Yonghong Zeng, Edward C.Y. Peh and Anh Tuan Hoang, “Sensing-Throughput Tradeoff for Cognitive Radio Networks”, IEEE Transactions on Wireless Communications, Vol. 7, No. 4, pp. 1326-1337, 2008.
- Steven M. Kay, “Fundamentals of Statistical Signal Processing: Detection Theory”, Prentice Hall, 1998.
- Zan Li, Wen Wu, Xiangli Liu and Peihan Qi, “Improved Cooperative Spectrum Sensing Model based on Machine Learning for Cognitive Radio Networks”, IET Communications, Vol. 12, No. 1, pp. 1-23, 2018.
- Jaewoo So and Wonjin Sung, “Group-Based Multi-Bit Cooperative Spectrum Sensing for Cognitive Radio Networks”, IEEE transactions on Vehicular Technology, Vol. 65, No. 12, pp. 10193-10198, 2016.
- Ian F. Akyildiz, Brandon F. Lo and Ravikumar Balakrishnan, “Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey”, Physical Communications, Vol. 4, pp. 40-62, 2010.
- Madushan Thilina Karaputugala, Kae Won Choi and Ekram Hossain, “Pattern Classification Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks: SVM and W-KNN Approaches”, Proceedings of International Conference on Global Communications, pp. 145-156, 2012.
- Karaputugala Madushan Thilina, Kae Won Choi, Nazmus Saquib and Ekram Hossain, “Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks”, IEEE Journal on Selected Areas in Communications, Vol. 31, No. 11, pp. 2209-2221, 2013.
- Ian F. Akyildiz, Won Yeol Lee, Mehmet C. Vuran and Shantidev Mohanty, “A Survey on Spectrum Management in Cognitive Radio Networks”, IEEE Communications Magazine, Vol. 46, No. 4, pp. 40-48, 2008.
- Khaled Ben Letaief and Wei Zhang, “Cooperative Communications for Cognitive Radio Networks”, Proceedings of the IEEE, Vol. 97, No. 5, pp. 878-893, 2009.
- M. Usha, B. Ramakrishnan and J. Sathiamoorthy, “Performance Analysis of Spectrum sensing Techniques in Cognitive Radio based Vehicular Ad Hoc Networks (VANET)”, Proceedings of International Conference on Computing and Communications Technologies, pp. 1-12, 2017.
- Luis Miguel Gato Diaz, Liset Martinez Marrero and Jorge Torres, “Performance Comparison of Spectrum Sensing Techniques in Cognitive Radio Networks”, Proceedings of International Conference on Telecommunications, pp. 1-8, 2016.
- P. Trinatha Rao and B. Anil Kumar, “Optimized Design and Analysis Approach of User Detection by Non-Cooperative Detection computing methods in CR Networks”, Cluster Computing, Vol. 22, pp. 1-9, 2017.
- Caio Henrique Azolini Tavares, “Machine Learning Applied to Co-Operative Spectrum Sensing in Cognitive Radios”, Master Thesis, Dept. of Electrical Engineering, State University of Londrina, pp. 1-119, 2019.
- Sun Yuhang, “Spectrum Sensing in Cognitive Radio Systems using Energy Detection”, Master Thesis, Department of Electronics, University of Gavle, pp. 1-98, 2011.
- Youness Arjoune and Naima Kaabouch, “A Comprehensive Survey on Spectrum Sensing in Cognitive Radio Networks: Recent Advances, New Challenges, and Future Research Directions”, Sensors, Vol. 19, No. 1, pp. 126-134, 2019.
- R. Gill and A. Kansal, “Comparative Analysis of the Spectrum Sensing Techniques Energy Detection and Cyclostationary Feature Detection”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 3, No. 1, pp. 1-13, 2014.
- M. Anirudh Rao, B.R. Karthikeyan, Dipayan Mazumdar and Govind R. Kadamba, “Energy Detection Technique for Spectrum Sensing in Cognitive Radio”, SASTech, Vol. 9, No. 3, pp. 43-49, 2010.
- P. Trinatha Rao and K. Venkata Vara Prasad, “Adaptive Cooperative Sensing in Cognitive Radio Networks with Ensemble model for Primary User Detection”, International Journal of Communication Systems, Vol. 3, No. 2, pp. 16- 24, 2019.
- Rohitha Ujjinimatad and R. Siddarama Patil, “Mathematical Analysis for Detection Probability in Cognitive Radio Networks over Wireless Communication Channels”, Journal of Engineering, Vol. 13, No. 2, pp. 445-449, 2014.
- Waqas Khalid and Heejung Yu, “Optimal Sensing Performance for Cooperative and Non-Cooperative Cognitive Radio Networks”, International Journal of Distributed Sensor Networks, Vol. 13, No. 2, pp. 1-15, 2017.
- P. Trinatha Rao and K. Venkata Vara Prasad, “Performance of Blind Detection Frame Work using Energy Detection Approach for Local Sensing in Intelligent Networks”, International Journal of Computers and Applications, Vol. 7, No. 2, pp. 1-14, 2018.
- Mahdi Ben Ghorbel, Haewoon Nam and Mohamed-Slim Alouini, “Soft Cooperative Spectrum Sensing Performance under Imperfect and Non-Identical Reporting Channels”, IEEE Communication Letters, Vol. 19, No. 2, pp. 227-230, 2015.
Abstract Views: 182
PDF Views: 95