AIF based relay node selection approach to increase the scalability in wireless mesh network

Authors

  • K C Chethan Government Engineering College, Hassan
  • A Shobharani B M S I T& M, Bangalore
  • Basavaraju TG Government SKSJTI, Bangalore

Keywords:

Wireless Mesh Networks (WMN’s), Relay Nodes (RN’s), Adaptive Informant Factor (AIF), Scalability

Abstract

The demand for wireless communication applications are increasing considerably; therefore many constrained features like computational capabilities, scalability, energy restoration, memory and presence of unreliable communication medium are the major challenges. The mesh network generally contain a huge amount of traffic, therefore it is essential to build some association policies that can tackle a different type of traffic by selecting appropriate RN. Considering a WMN environment, in this study we proposed the AIF based RN selection approach that is implemented using the centralized network model. This helps to manage the link selection in the mesh network through selecting suitable RN for the particular application. The scalability requirement generally depends upon the characteristics of data flow at wireless mesh network and suitability of RN that is used to serve signal to the user. Here, we are going to get suitable relay node among the A RNs composing the mesh wireless network and the wireless user can be associated with the selected RN that can provide scalability in data flow as per request of the new flow. In order to evaluate the network performance, our proposed model is compared with respect to state-of-art techniques.

References

http://www.marketsandmarkets.com/Market- Reports/internet-ofthings-market-573.html,2017(retrieved on February 2017).

Habib F. Rashvand, Jose M. Alcaraz Calero.Distributed Sensor Systems: Practice and Applications John Wiley & Sons.

M.-A. Koulali, A. Kobbane, M.El Koutbi, H. Tembine, J. BenOthman. Dynamic power control for energy harvesting wireless multimedia sensor networks.EURASIP J. Wireless Comm. and Networking 2012: 158.

N. Sabor,S.Sasaki,M.Abo-Zahhad and S. M. Ahmed. A Comprehensive Survey on Hierarchical-Based Routing Protocols for Mobile Wireless Sensor Networks: Review, Taxonomy, and Future Directions.Wireless Communications and Mobile Computing. V. 2017 (2017).ID 2818542.

J.Yan, M. Zhou and Z.Ding.Recent Advances in Energy- Efficient Routing Protocols for Wireless Sensor Networks: A Review. IEEE Access, v.4(August 2016), DOI 10.1109/ACCESS.2016.2598719.

J. Laneman, D. Tse, and G. Wornell.Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Trans. Inform. Theory, vol. 50, no. 12, pp. 3062-3080, Dec. 2004.

Z. S. Mahmod and A. H. Abdalla.A scalable routing protocol for hybrid wireless mesh networks.2012 International Conference on Computer and Communication Engineering (ICCCE), Kuala Lumpur, 2012, pp. 51-54.

P.A. Frangoudis and G. C. Polyzos.Wireless Community Networks: An Alternative Approach for Nomadic Broadband Network Access. IEEE Comm. Magazine, vol. 49, no. 5, pp. 206-213, 2011.

S.Vural, D Wei and K.Moessner.Survey of Experimental Evaluation Studies for Wireless Mesh Network Deployment in Urban Areas Towards Ubiquitous Internet. IEEE Communications Surveys & Tutorials, vol. 15, no. 1, pp. 223-239, 2012.

Y. Li and I. Chen.Hierarchical Agent-Based Secure Multicast for Wireless Mesh Networks.Proc. IEEE International Conf. Communications (IEEE ICC), 2011.

S.Waharte, B.Ishibashi, R.Boutaba, and D.Meddour. Interferenceaware routing metric for improved load balancing in wireless mesh networks.Proceedings of 2008 IEEE International Conference on Communications, pp. 2979-2983, 2008.

B. Nassereddine, A. Maach and S. Bennani.The scalability of the hybrid protocol in wireless mesh network 802.11s.2009 Mediterrannean Microwave Symposium (MMS), Tangiers, 2009, pp. 1-7.

K.Cengiz and T. Dag. Energy Aware Multi-Hop Routing Protocol for WSNs. IEEE Access, vol. 6, pp. 2622-2633,2018.doi: 10.1109/ACCESS.2017.2784542.

U. S. H. Varma, M. V. S. Nikhil, G. S. S. K. Manikanta, T. B. S. Kiran and S. Kirthiga. Cooperative MIMO with relay selection for LTE advanced system.2017 International Conference on Circuit ,Power and Computing Technologies (ICCPCT), Kollam, 2017, pp. 1-6.

Qualcomm. Leading the world to 5G: Evolving cellular technologies for safer drone operation. [Online].Available:https://www.qualcomm.com/documents/leadingworld-5gevolving-cellular-technologies-safer-drone-operation

C. J. Katila, A. Di Gianni, C. Buratti and R. Verdone. Routing protocols for video surveillance drones in IEEE 802.11s Wireless Mesh Networks.2017 European Conference on Networks and Communications (EuCNC), Oulu, 2017, pp. 1-5.

O. Pianykh. Digital Imaging and Communications in Medicine (DICOM). Berlin, Germany: Springer, 2008. [Online]. Available: https://doi.org/10.1007/978-3-540-74571-6.

G. K. Wallace.The JPEG still picture compression standard. IEEE Trans. Consum. Electron., vol. 38, no. 1, pp. 18–34, Feb. 1992.

J.-R. Ohm.Three-dimensional subband coding with motion compensation.IEEE Trans. Image Process., vol. 3, no. 5, pp. 559–571, Sep. 1994.

J.-U. Garbas, B. Pesquet-Popescu, and A. Kaup. Methods and tools for wavelet-based scalable multiview video coding.IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 2, pp. 113–126, Feb. 2011.

W. Schnurrer, T. Richter, J. Seiler, and A. Kaup. Analysis of meshbased motion compensation in wavelet lifting of dynamical 3-D+t CT data.Proc. IEEE Int. Workshop Multimedia Signal Process. (MMSP), Banff, AB, Canada, Sep. 2012, pp. 152–157.

D. H. Frakes et al.A new method for registration-based medical image interpolation.IEEE Trans. Med. Imag., vol. 27, no. 3, pp. 370–

, Mar. 2008.

A. Secker and D. Taubman.Lifting-based invertible motion adaptive transform (LIMAT) framework for highly scalable video compression.IEEE Trans. Image Process., vol. 12, no. 12, pp. 1530–1542, Dec. 2003.

Y. Nakaya and H. Harashima.Motion compensation based on spatial transformations. IEEE Trans. Circuits Syst. Video Technol., vol. 4,

no. 3, pp. 339–356, Jun. 1994.

C.-L. Huang and C.-Y. Hsu.A new motion compensation method for image sequence coding using hierarchical grid interpolation.IEEE

Trans. Circuits Syst. Video Technol., vol. 4, no. 1, pp. 42–52, Feb. 1994.

G. Heising, D. Marpe, H. L. Cycon, and A. P. Petukhov.Waveletbased very low bit-rate video coding using image warping and overlapped block motion compensation.IEEE Proc.-Vis., Image Signal Process., vol. 148, no. 2, pp. 93–101, Apr. 2001.

P. T. A. Quang, K. Piamrat, K. D. Singh and C. Viho. Video Streaming Over Ad Hoc Networks: A QoE-Based Optimal Routing Solution.IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp. 1533-1546, Feb. 2017.

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Published

2024-02-26

How to Cite

K C, C., A, S., & Basavaraju, T. (2024). AIF based relay node selection approach to increase the scalability in wireless mesh network. COMPUSOFT: An International Journal of Advanced Computer Technology, 8(01), 2976–2984. Retrieved from https://ijact.in/index.php/j/article/view/470

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Section

Original Research Article

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