An analysis framework for the performance of collocated heterogeneous wireless networks with negative acknowledgements
Keywords:
Binary exponential backoff, coexistence, heterogeneous, IEEE802.11, interference.Abstract
This paper proposes an analytical framework for evaluating the performance of coexistent heterogeneous wireless networks configured with different transmission powers and carrier sense thresholds. Two models, M-INF and M-MAC, are developed based on two-dimensional Markov chain. M-INF evaluates the effect of asymmetric channel access
and interference among heterogeneous wireless networks, whereas M-MAC evaluates the effectiveness of a negative acknowledgement (NACK) mechanism. Results obtained from simulations are compared with those obtained from our proposed M-INF as well as conventional models, e.g., CHAM and HSM. It was found that simulations match our proposed
models more closely than the conventional models. In addition, results obtained from M-MAC suggest that using NACK improves network performance by 40%.
References
Bianchi, G. (2000). Performance Analysis of the IEEE
11 Distributed Coordination Function.IEEE Journal on
Selected Areas in Communications, 18(3):535–547.
Hung, F. Y. & Marsic, I. (2010). Performance analysis of
the IEEE 802.11 DCF in presence of hidden stations. The
International Journal of Computer and Telecommunications
Networking, 7(4):2674–2687.
IEEE 802.11a (1999). WG Part 11: Wireless LAN
medium access control (MAC) and physical layer (PHY)
Specifications: High-speed Physical Layer in the 5 GHz
Band.
Karakaya, V., Gursoy F.&Erturk M. (2016). Some
convergence and data dependence results for various
fixed point iterative methods. Kuwait Journal of Science,
(1):112–128.
Khan, B. & Ahn J.S. (2013). A performance model for the
effect of interferences among the collocated heterogeneous
wireless networks.15th International Conference on
Advanced Communication Technology, South Korea.
Khan, B. & Ahn J.S. (2014). Modeling the effect of
interferences among n collocated heterogeneous wireless
networks. In proceedings of the International Symposium on
Modeling and Optimization in Mobile, Ad Hoc and Wireless
Networks (WiOpt), Tunisia.
Network simulator, ns-2, [Online; Dec 2016]. Available at:
Pang, Q., Leung V. C. M. & Liew S. C. (2006).
Improvement of WLAN Contention Resolution by
Loss Differentiation. IEEE Transactions on Wireless
Communications,5(12):3605–3615.
Park, E. C. & Rim, M. (2011). Fair coexistence MAC
protocol for contention-based heterogeneous networks. The
Computer Journal, 54(8):1382–1397.
Ranga, V., Dave M. &Verma A. K. (2016). Optimal nodes
selection in wireless sensor and actor networks based on
prioritized mutual exclusion approach. Kuwait Journal of
Science. 43(1):150–173.
Wu, H., Peng, Y., Long, K., Cheng, S. & Ma, J. (2002).
Performance of Reliable transport protocol over IEEE
11 Wireless LAN: Analysis and Enhancement. IEEE
INFOCOM, NY, USA.
Xu, K., Gerla, M. & Bae, S. (2003). Effectiveness of RTS/
CTS handshake in IEEE 802.11 based ad hoc networks. Ad
Hoc Networks, 1(1):107–123.
