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Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN: Wireless Mesh Networks Under Mobility Conditions

Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN: Wireless Mesh Networks Under Mobility Conditions

S.P. Shiva Prakash, T.N. Nagabhushan, Kirill Krinkin
Copyright: © 2020 |Pages: 30
ISBN13: 9781799824602|ISBN10: 1799824608|EISBN13: 9781799824619
DOI: 10.4018/978-1-7998-2460-2.ch010
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MLA

Prakash, S.P. Shiva, et al. "Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN: Wireless Mesh Networks Under Mobility Conditions." Cognitive Analytics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2020, pp. 164-193. https://doi.org/10.4018/978-1-7998-2460-2.ch010

APA

Prakash, S. S., Nagabhushan, T., & Krinkin, K. (2020). Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN: Wireless Mesh Networks Under Mobility Conditions. In I. Management Association (Ed.), Cognitive Analytics: Concepts, Methodologies, Tools, and Applications (pp. 164-193). IGI Global. https://doi.org/10.4018/978-1-7998-2460-2.ch010

Chicago

Prakash, S.P. Shiva, T.N. Nagabhushan, and Kirill Krinkin. "Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN: Wireless Mesh Networks Under Mobility Conditions." In Cognitive Analytics: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 164-193. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2460-2.ch010

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Abstract

Minimization of delay in collecting the data at any base stations is one of the major concerns in cluster based Wireless Mesh Networks. several researches have proposed algorithms to control congestion considering static nature of a node. Mobility of a node results in high congestion due to frequent link breakages and high energy consumption due to re-establishment of route during routing process. Hence, the authors consider dynamic nodes with single hop inside the static cluster. The proposed model includes four modules namely, Cluster head selection, slot allocation, slot scheduling and data collection process. the cluster head selection is based on the maximum energy, number of links and link duration. Slot allocation is based on the available energy () and the required energy (). Slot scheduling is carried out based on the link duration. Data at the base station will be collected as they are scheduled. Model is tested using Network Simulator-3 (NS3) and results indicate that the proposed model achieves least delay besides reducing the congestion compared to the existing methods.

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