Abstract
Ping-pong effect is inherent in handoff ready networks. Due to this effect, there are unnecessary handoffs in a wireless network, which reduces the energy efficiency and the quality of service (QoS) offered by the networks to the node under study. Ping-pong effect is also responsible for high delays in networks, due to the fact that the nodes and networks are constantly performing handoff operations, and thus the normal communication operations get delayed. This paper throws light on a novel cloud-oriented machine learning based approach which optimizes the number of handoffs in the network, and thus improves the overall QoS delivered by the network to the node. Our results imply that the ping-pong effect reduces by more than 20% when compared to standard handoff algorithms.
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Kene, P., Haridas, S.L. (2020). Reducing Ping-Pong Effect in Heterogeneous Wireless Networks Using Machine Learning. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_71
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DOI: https://doi.org/10.1007/978-981-13-8618-3_71
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