Balancing Agility and Stability of Wireless Link Quality Estimators
Subject Areas : Wireless NetworkMohammadJavad Tanakian 1 , Mehri Mehrjoo 2 *
1 - Sistan & Baloochestan
2 - Sistan & Baloochestan
Keywords: Link quality estimation, , adaptive fuzzy filter, , agility, , stability, , wireless channel, ,
Abstract :
The performance of many wireless protocols is tied to a quick Link Quality Estimation (LQE). However, some wireless applications need the estimation to respond quickly only to the persistent changes and ignore the transient changes of the channel, i.e., be agile and stable, respectively. In this paper, we propose an adaptive fuzzy filter to balance the stability and agility of LQE by mitigating the transient variation of it. The heart of the fuzzy filter is an Exponentially Weighted Moving Average (EWMA) low-pass filter that its smoothing factor is changed dynamically with fuzzy rules. We apply the adaptive fuzzy filter and a non-adaptive one, i.e., an EWMA with a constant smoothing factor, to several types of channels from short-term to long-term transitive channels. The comparison of the filters outputs shows that the non-adaptive filter is stable for large values of the smoothing factor and is agile for small values of smoothing factor, while the proposed adaptive filter outperforms the other ones in terms of balancing the agility and stability measured by the settling time and coefficient of variation, respectively. Notably, the proposed adaptive fuzzy filter performs in real time and its complexity is low, because of using limited number of fuzzy rules and membership functions.
[1] V.C. Gungor, D. Sahin, T. Koçak, S. Ergüt, C. Buccella, C. Cecati, and G.P. Hancke, "Smart grid technologies: Communication technologies and standards, ", IEEE Transactions on Industrial Informatics, Vol. 7, No. 4, 2011, pp. 529–539.
[2] H.M.Nejad,N.Movahhedinia, and M.R.Khayyambashi, "Provisioning required reliability of wireless data communication in smart grid neighborhood area networks",The Journal of Supercomputing, Vol.73, No.2, 2017, pp. 866–886.
[3] J. Cai, X.Song,J.Wang, and M.GU, "Reliability analysis for chain topology wireless sensor networks with multiple-sending transmission scheme" ,EURASIP Journal on Wireless Communications and Networking, Vol. 2014,No. 1, pp,156-169.
[4] T.Korkmaz, and K.Sarac, "Characterizing link and path reliability in large-scale wireless sensor networks", Proceedings of the 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), 2010, pp. 217–224.
[5] M. Kumar, R. Tripathi, and S. Tiwari, "QoS guarantee towards reliability and timeliness in industrial wireless sensor networks",Multimedia Tools and Applications, Vol. 77, No. 4, 2018, pp. 4491–4508.
[6] W. Sun, W. Lu, Q. Li, L. Chen, D. Mu, and X. Yuan, "WNN-LQE: Wavelet-neural-network-based link quality estimation for smart grid WSNs", IEEE Access, Vol. 5, 2017, pp. 12788–12797.
[7] F. Aalamifar, and L. Lampe, "Cost-efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure", IEEE Transactions on Communications (Early Access), Vol.66, No. 12, 2018, [Online]. Available:https://arxiv.org/abs/1802.06656.2018.
[8] X.Zhu,Y.Lu,J.Han,andL.Shi, "Transmission Reliability Evaluation for Wireless Sensor Networks", International Journal of Distributed Sensor Networks,Vol. 2016,DOI:http://dx.doi.org/10.1155/2016/1346079.
[9]N. Baccour, A.Koubaa,M.B.Jamaa,H.Youssef,M.Zuniga,andM.Alves, "A comparative simulation study of link quality estimators in wireless sensor networks", IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS'09),2009,DOI: 10.1109/MASCOT.2009.5366798.
[10]A. Zhou,B.Wang,S.Xingming,X.You,H.Sun,andT.Li, "SLQE: an improved link quality estimation based on four-bit LQE",International Journal of Future Generation Communication and Networking, Vol.8, No.1, 2015, pp. 149–160.
[11] W. Sun, X. Yuan, J. Wang, Q. Li, L. Chen, and D. Mu, "End-to-end data delivery reliability model for estimating and optimizing the link quality of industrial WSNs", IEEE Transactions on Automation Science and Engineering, Vol. PP, No. 99, 2017, pp. 1–11.
[12] D. S. De Couto, D. Aguayo, J. Bicket, and R. Morris, "A high-throughput path metric for multi-hop wireless routing", Wireless Networks., Vol. 11, No. 4, 2005, pp. 419–434.
[13] A. Vlavianos, L.K. Law, L. Broustis, S. Krishnamurthy, and M. Faloutsos, "Assessing link quality in wireless networks: Which is the right metric? ",IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications, 2008, pp. 1–6.
[14] R.Fonseca,O.Gnawali,K.Jamieson,andP.Levis,"Four-Bit Wireless Link Estimation", In Proceedings of the 6th Workshop on Hot Topics in Networks (HotNetsVI), 2007.
[15] N. Baccour, A.Koubaa, H.Youssef, and M.Alves, "Reliable link quality estimation in low-power wireless networks and its impact on tree-routing", Ad Hoc Networks,Vol. 27, 2015, pp.1–25.
[16] S. Rekik, N. Baccour, M. Jmaiel, and K. Drira , " Low-power link quality estimation in smart grid environments ", International Wireless Communications and Mobile Computing Conference (IWCMC 2015), pp. 1211-1216, 2015.
[17] Z. Huang, L. Y. Por, T. F. Ang, M. H. Anisi, and M. S. Adam , "Improving the Accuracy Rate of Link Quality Estimation Using Fuzzy Logic in Mobile Wireless Sensor Network ", Advances in Fuzzy Systems, vol. 2019, Article ID 3478027, 13 pages, https://doi.org/10.1155/2019/3478027, 2019.
[18] Z. Q. Guo, Q. Wang, M. H. Li, and J. He, " Fuzzy logic based multidimensional link quality estimation for multi-hop wireless sensor networks ", IEEE Sensors Journal, vol.13, no.10, pp. 3605-3615, 2013.
[19] M. Senel, K. Chintalapudi, D. Lal, A. Keshavarzian, and E. J. Coyle, "A kalman filter based link quality estimation scheme for wireless sensor networks", IEEE Global Telecommunications Conference (GLOBECOM07), 2007.
[20] M.J. Tanakian, M. Rezaei, and F.Mohanna , "Digital video stabilizer by adaptive fuzzy filtering", Journal Image Video Proc , vol.21, doi:10.1186/1687-5281-2012-21,2012.
[21] L. A. Zadeh, “Fuzzy sets,” Information and Control, Vol. 8, 1965, pp. 338-353.
[22] A. Abdel-Aleem, M.A.El-sharief, M.A. Hassan, and M.G. El-sebaie, "Implementation of fuzzy and adaptive neuro-fuzzy inference systems in optimization of production inventory problem", Applied Mathematics & Information Sciences, Vo.11, No.1, 2017, pp.289–298.
[23] A. Sadollah, Fuzzy Logic Based in Optimization Methods and Control Systems and Its Applications, London: IntechOpen, 2018, DOI: 10.5772/intechopen.73112.
[24] S. Woo and H. Kim, "An empirical interference modeling for link reliability assessment in wireless networks", IEEE/ACM Transactions on Networking, Vol. 21, Issue 1, 2013, pp. 272 – 285.
[25] P. Millan, C. Molina, E. Medina, D. Vega, R.Meseguer, B. Braem, and C. Blondia, " Tracking and predicting link quality in wireless community networks", In IEEE 10th international conference on wireless and mobile computing, networking and communications (WiMob)(pp. 239–244).
.