Autors: Deshpande, V., Poulkov, V. K.
Title: Model to Improve Quality of Service in Wireless Sensor Network
Keywords: BER; Channel throughput; Nodes; Packets; QoS; Recommendation; Reinforcement learning technique; SNR

Abstract: Communication channel is a transmitting medium by which two nodes can communicate with each other in a network. A channel can send the information also called as data in the form of packets to its receivers. If a channel is communicating in an open environment, there can be some environmental conditions that can affect the performance of communication. There can be parameters such as SNR, BNR or channels throughput for every channel which can be affected by the external environment. To improve the quality of service, in this research model, the proposed algorithms can recommend the best and healthy parameters for every channel and the healthy channel itself to have better communication between nodes. The proposed algorithms can be applied to the channel to reduce the dimensionality of data or feature selection from the available set of features automatically. This approach will automatically take care of suitable and useful features for every channel. The technique is further ..

References

    Issue

    in Proceedings of International Conference on Data Management, Analytics and Innovation (ICDMAI), Kuala Lumpur, Malaysia, 18-20 January 2019; Advances in Intelligent Systems and Computing, vol. 1016, pp. 475-483, 2020, Singapore, Springer, DOI 10.1007/978-981-13-9364-8_34

    Copyright Springer Nature Singapore Pte Ltd.

    Вид: публикация в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus и Web of Science