Abstract
With the rapid development of mobile internet services, the intensive deployment of wireless local area network (WLAN) is inevitable. Traditional WLAN uses carrier sense/collision avoidance (CSMA/CA) mechanism to avoid interference between links as much as possible. In the multi access points (APs) scenario, the traditional CSMA/CA may lead to the flow in the middle (FIM) problem, resulting in a sharp reduction in the throughput of the intermediate nodes and affecting the fairness of the whole network. Existing researches have shown that the FIM problem is more serious in the high density WLAN network. The existing researches on the FIM problem mainly focus on the dynamic optimization of a single parameter, the fairness and performance of the network cannot be well guaranteed. Therefore, this paper proposes a FIM oriented down link (DL) multi-parameter joint dynamic control scheme. AP as a centralized controller, regularly obtains the transmission status of the whole network, reduces the transmission opportunities of the strong AP through adaptive dynamic power and energy detection threshold control (A-DPEC) algorithm, and improves the transmission opportunities of the starvation AP, so as to achieve the performance and fair balance of the whole network. The simulation results show that the proposed scheme outperforms the comparing schemes.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
López-Raventós, Á., Bellalta, B.: Concurrent decentralized channel allocation and access point selection using multi-armed bandits in multi BSS WLANs. Comput. Netw. (2020)
Qu, Q., Li, B., Yang, M., Yan, Z., Yang, A., Yu, J., et al.: Survey and Performance Evaluation of the Upcoming Next Generation WLAN Standard - IEEE 802.11ax (2018)
Yang, M., Li, B.: Survey and perspective on extremely high throughput (EHT) WLAN—IEEE 802.11be. Mob. Netw. Appl. 25(2) (2020)
Barrachina-Munoz, S., Wilhelmi, F., Bellalta, B.: To overlap or not to overlap: enabling channel bonding in high-density WLANs. Comput. Netw. 152, 40–53 (2018)
Yang, M., Li, B., Yan, Z., Yan, Y.: AP coordination and full-duplex enabled multi-band operation for the next generation WLAN: IEEE 802.11be (EHT). In: 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE (2019)
Zhong, Z., Kulkarni, P., Cao, F., Fan, Z., Armour, S.: Issues and challenges in dense WiFi networks. In: Wireless Communications & Mobile Computing Conference IEEE (2015)
Nj, M., Sahib, S., Suryana, N., Hussin, B.: RTS/CTS Framework Paradigm and WLAN Qos provisioning methods. Int. J. Adv. Comput. Sci. Appl. 8(2) (2017)
Bo, Y., Kamiya, S., Yamamoto, K., Nishio, T., Abeysekera, H.: Starvation mitigation for dense WLANs through distributed channel selection: potential game approach. In: 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE (2017)
Shimizu, H., Yin, B., Yamamoto, K., Iwata, M., Abeysekera, H.: Joint channel selection and spatial reuse for starvation mitigation in IEEE 802.11ax WLANs. In: 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall). IEEE (2019)
Stojanova, M., Begin, T., Busson, A.: A Markov model for performance evaluation of channel bonding in IEEE 802.11, p. 102449 (2021)
Potti, B., Subramanyam, M.V., Prasad, K.S.: Hybrid Genetic Optimization to Mitigate Starvation in Wireless Mesh Networks (2015)
Fitzgerald, E., Körner, U., Landfeldt, B.: An analytic model for throughput optimal distributed coordination function (TO-DCF). Telecommun. Syst. 66(2), 197–215 (2017). https://doi.org/10.1007/s11235-017-0275-6
Jang, H., Yun, S.Y., Shin, J., Yi, Y.: Game theoretic perspective of optimal CSMA. IEEE Trans. Wirel. Commun. 1 (2018)
Masri, A.E., Sardouk, A., Khoukhi, L., Hafid, A., Gaiti, D.: Neighborhood-aware and overhead-free congestion control for IEEE 802.11 wireless mesh networks. Wirel. Commun. IEEE Trans. 13(10), 5878–5892 (2014)
Mhatre, V.P., Papagiannaki, K., Baccelli, F.: Interference mitigation through power control in high density 802.11 WLANs. In: IEEE Infocom-IEEE International Conference on Computer Communications. IEEE (2007)
Iwai, K., Ohnuma, T., Shigeno, H., Tanaka, Y.: Improving of fairness by dynamic sensitivity control and transmission power control with access point cooperation in dense WLAN. In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE (2019)
Xue, D., Ekici, E.: On reducing delay and temporal starvation of queue-length-based CSMA algorithms. In: Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on IEEE (2012)
Lim, Y.S., Choi, J., Kim, C.K.: Practical application of physical energy detection to recognize starvation in 802.11 wireless networks. In: 2009 International Conference on Information Networking IEEE (2009)
Akella, A., Judd, G., Seshan, S., Steenkiste, P.: Self-management in chaotic wireless deployments. Wirel. Netw. 13(6), 737–755 (2007)
Li, Z., Nandi, S., Gupta, A.K.: Improving fairness in IEEE 802.11 using enhanced carrier sensing. IEE Proc. Commun. 151(5), 467–472 (2004)
Mahajan, P.: Optimized handoff algorithm for heterogeneous networks. IETE Tech. Rev. 3 (2020)
Wilhelmi, F., Muoz, S.B., Cano, C., Selinis, I., Bellalta, B.: Spatial reuse in IEEE 802.11ax WLANs. Comput. Commun. 170(1) (2021)
Lin, W., Bo, L., Mao, Y., Qiao, Q., Bo, Y.: Integrated link-system level simulation platform for the next generation WLAN - IEEE 802.11ax. In: Global Communications Conference IEEE (2017)
Zhang, K.: The Research and Simulation of Channel Modeling and Interference Abstraction for the Next Generation WLAN (2020)
Cai, X.W.: Research and Implementation of MAC Technology and Integrated Simulation Platform for the Next Generation WLAN (2020)
Acknowledgement
This work was supported in part by the National Natural Science Foundations of CHINA (Grant No. 61871322, No. 61771392, and No. 61771390), and Science and Technology on Avionics Integration Laboratory and the Aeronautical Science Foundation of China (Grant No. 20185553035, and No. 201955053002).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Wang, Y., Yang, Q., Yang, M., Yan, Z., Li, B. (2023). Joint Energy Detection and Transmission Power Adjustment for FIM Problem in High Density WLANs. In: Deng, DJ., Chao, HC., Chen, JC. (eds) Smart Grid and Internet of Things. SGIoT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 497. Springer, Cham. https://doi.org/10.1007/978-3-031-31275-5_20
Download citation
DOI: https://doi.org/10.1007/978-3-031-31275-5_20
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-31274-8
Online ISBN: 978-3-031-31275-5
eBook Packages: Computer ScienceComputer Science (R0)