Network Adaptive Interference Aware Routing Metric for Hybrid Wireless Mesh Networks

Conference paper


Ullah, U, Kiani, A, Ali, RF and Ahmad, R (2016). Network Adaptive Interference Aware Routing Metric for Hybrid Wireless Mesh Networks. 2016 International Wireless Communications and Mobile Computing Conference. Paphos, Cyprus 05 - 09 Sep 2016
AuthorsUllah, U, Kiani, A, Ali, RF and Ahmad, R
TypeConference paper
Abstract

Wireless Mesh Networks provide a reliable, robust and resilient platform for broadband access. Main benefits of using Wireless Mesh Networks are their low cost, robustness, self healing, and self configuring properties. In Wireless Mesh Networks, routing metric determines the path from source to destination. Wireless link conditions can be affected by a number of factors including interference, congestion, mobility, and network topology. Routing metric needs to consider all these factors while making routing decisions. In addition, wireless link conditions do not remain static with time requiring the routing metric to be adaptive. Interference in Wireless Mesh Networks are of two types: inter-channel and intra-channel interference. Existing routing metrics for Wireless Mesh Networks either consider only one of the two interference types or do not capture changing network conditions. In this paper, we propose a new routing metric for Wireless Mesh Networks which takes into account both inter and intra-channel interference and is adaptive to changing network conditions. Our proposed metric is compared with the state of the art and shows throughput improvement of up to 20 percent and latency reduction of 25 percent.

Year2016
Publisher's version
License
CC BY 4.0
Publication dates
Print05 Sep 2016
Publication process dates
Deposited25 Feb 2019
Accepted08 Jun 2016
Permalink -

https://openresearch.lsbu.ac.uk/item/8726w

  • 1
    total views
  • 22
    total downloads
  • 1
    views this month
  • 2
    downloads this month

Related outputs

Load dependent dynamic path selection in multi-radio hybrid wireless mesh networks
Farrukh, R, Kiani, A and Pirzada, A (2014). Load dependent dynamic path selection in multi-radio hybrid wireless mesh networks. 2014 IEEE Wireless Communications and Networking Conference. Istanbul, Turkey 06 - 09 Apr 2014
Real-time environmental monitoring, visualization, and notification system for construction H&S management
Kiani, A, Salman, A and Riaz, Z (2014). Real-time environmental monitoring, visualization, and notification system for construction H&S management. Journal of Information Technology in Construction. 19, pp. 72-91.
Priority Based Energy Aware (PEA) routing protocol for WBANs
Talha, S, Ahmad, R and Kiani, A (2015). Priority Based Energy Aware (PEA) routing protocol for WBANs. 2015 IEEE 82nd Vehicular Technology Conference. Boston, USA
Machine Learning based optimised live virtual machine migration over WAN Links
Arif, M, Kiani, A and Qadir, J (2017). Machine Learning based optimised live virtual machine migration over WAN Links. Telecommunication Systems. 64 (2), pp. 245-257.
Network Coding for Energy Efficient Transmission in Wireless Body Area Networks
Talha, S, Ahmad, R, Kiani, A and Alam, MM (2017). Network Coding for Energy Efficient Transmission in Wireless Body Area Networks. The 7th International Conference on Current and Future Trends of Information and Communicaiton Technologies in Healthcare (ICTH 2017). Lund, Sweden 18 - 20 Sep 2017
On Research Challenges in Hybrid Medium Access Control Protocols for IEEE 802.15.6 WBANs
Kiani, A, Saboor, A, Ahmad, R, Ahmed, W, Moullec, YL and Mahtab, M (2018). On Research Challenges in Hybrid Medium Access Control Protocols for IEEE 802.15.6 WBANs. IEEE Sensors Journal.
Techno, economic and environmental assessment of a Combined Heat and Power (CHP) system-a case study for a university campus
Amber, KP, Day, T, Ratyal, NI, Kiani, A. and Ahmad, R (2018). Techno, economic and environmental assessment of a Combined Heat and Power (CHP) system-a case study for a university campus. Energies. 11 (5), pp. 1133-1133.
Intrusion Detection Systems in Cloud Computing: A Contemporary Review of Techniques and Solutions
Riaz, A, Ahmad, HF, Kiani, A., Qadir, J, Rasool, R and Younis, U (2017). Intrusion Detection Systems in Cloud Computing: A Contemporary Review of Techniques and Solutions. Journal of Information Science and Engineering. 33, pp. 611-634.