Outage Analysis/SER of A Cooperative Wireless Network Based on Opportunistic Relaying
DOI:
https://doi.org/10.61841/yyrz1g39Keywords:
pro-active relaying, Channel state information, WSN, cooperative relaying, outage probabilityAbstract
In this paper, an adaptive relay node selection algorithm based on the opportunity is proposed to balance the network energy consumption. we analyze the SER and outage probability of opportunistic relay selection in a set-up using decode and forward and where the available channel state information (CSI) is not available. The relay is selected opportunistically to maximize the end-to-end signal to noise ratio received at the destination. At destination Maximal Ratio Combining(MRC) is done to exploit diversity. The statistics in terms of (PDF) and (CDF) have been derived and used for determining outage probability for varying channel conditions. The outage performance and SER with fixed and opportunistic relaying have been compared. It has been shown that the proposed algorithm can improve the network performance by deferring the earliest death time of the nodes, balancing the energy consumption of each node, and extending the network life cycle.
Downloads
References
1. Manoharan, Rajesh, et al. “Selection of Intermediate Routes for Secure Data Communication Systems using Graph Theory Application and Grey Wolf Optimization Algorithm in MANETs.” IET Networks (2020).
2. Rajesh, M., & Gnanasekar, J. M. (2017). Path Observation Based Physical Routing Protocol for Wireless Ad Hoc Networks. Wireless Personal Communications, 97, 1267–1289. https://doi.org/10.1007/s11277-017-4565-9
3. Rajesh, M. (2020). Streamlining Radio Network Organizing Enlargement Towards Microcellular Frameworks. Wireless Personal Communications. https://doi.org/10.1007/s11277-020-07336-9
4. Gupta, P., & Kumar, P. R. (2000). The capacity of wireless networks. IEEE Transactions on Information Theory, 46(2), 388–404.
5. Gowaikar, R., Hochwald, B. M., & Hassibi, B. (2006). Communication over a wireless network with random connections. IEEE Transactions on Information Theory, 52(7), 2857–2871.
6. Dana, A. F., & Hassibi, B. (2006). On the power efficiency of sensory and ad hoc wireless networks. IEEE Transactions on Information Theory, 52(7), 2890–2914.
7. Morgenshtern, V. I., & Bölcskei, H. (2007). Crystallization in large wireless networks. IEEE Transactions on Information Theory, 53(10), 3319–3349.
8. Özgür, A., Lévêque, O., & Tse, D. N. C. (2007). Hierarchical cooperation achieves optimal capacity scaling in ad hoc networks. IEEE Transactions on Information Theory, 53(10), 3549–3572.
9. Yorozu, Y., Hirano, M., Oka, K., & Tagawa, Y. (1987). Electron spectroscopy studies on magneto-optical media and plastic substrate interface. IEEE Translation Journal on Magnetics in Japan, 2, 740–741. [Digest 9th Annual Conf. Magnetics Japan, p. 301, 1982].
10. Young, M. (1989). The Technical Writer’s Handbook. Mill Valley, CA: University Science.
11. Onat, F., Fan, Y., Yanikomeroglu, H., & Poor, H. (2008). Threshold based relay selection in cooperative wireless networks. In IEEE GLOBECOM 2008, pp. 1–5.
12. Vicario, J., & Anton-Haro, C. (2006). Analytical assessment of multi-user vs. spatial diversity trade-offs with delayed channel state information. IEEE Communications Letters, 10(8), 588–590.
13. Vicario, J., Bel, A., Lopez-Salcedo, J., & Seco, G. (2009). Optimal power allocation in opportunistic relay selection with outdated CSI: Outage probability and diversity analysis. IEEE Transactions on Wireless Communications, 8(6), 2872–2876.
14. Torabi, M., Haccoun, D., & Ajib, W. (2010). Performance analysis of cooperative diversity with relay selection over non-identically distributed links. IET Communications, 4(5), 596–605.
15. Zhou, Q., Lau, F., & Hau, S. (2009). Asymptotic analysis of opportunistic relaying protocols. IEEE Transactions on Wireless Communications, 8(8), 3915–3920.
16. Adeane, J., Rodrigues, M. R. D., & Wassell, I. (2005). Centralised and distributed power allocation algorithms in cooperative networks. In IEEE 6th Workshop on Signal Processing Advances in Wireless Communications, pp. 333–337.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
