A Dynamic Spectrum Access Optimization Model for Cognitive Radio Wireless Sensor Network

Abstract

The availability of low cost and tiny sensor devices have resulted in increased adoption of wireless sensor network (WSN) in various industries and organization. The WSN is expected to play a significant role in future internet based application services. WSN has been adopted in healthcare, disaster management, environment monitoring and so on. The low-cost availability of smart devices has led to increased use of wireless devices such as Bluetooth, Wi-Fi etc. Therefore, cognitive radio network plays a significant role in handling spectrum efficiently. The emerging internet access technology such as 4G and 5G network which is expected to come in near future is going to make cognitive spectrum access more challenging. The existing cognitive radio based WSN is not efficient in utilizing spectrum. They induce high collision due to interference and improper channel state information. To address, this work present an efficient distributed opportunistic spectrum access for wireless sensor network. The channel availability of likelihood distribution is computed using continuous-time Markov chain considering primary transmitting users temporal channel usage channel pattern and spatial distribution. The simulation outcome shows the proposed model achieves significant performance improvement over existing model. The proposed model improves the overall spectrum efficiency of cognitive radio wireless sensor network in terms of throughput, packet transmission and collision.

Resource optimization-based network selection model for heterogeneous wireless networks

“…This section method namely existing system-resource selection (ES-RS) method [17], [27]. The SIMITS simulator [37], [38] is used for studying the model considering dynamic mobility model [35], [36]. The throughput, packet loss, and handover failure are performance metrics used for studying the model through simulation study.…”

Hybrid spectrum access model using game theory approach for multi-channel heterogeneous mobile cognitive radio wireless sensor network

“…Further, we present a fine-grained Nash equilibrium existence for Random MAC for distributed mobile cognitive radio wireless sensor network. In our previous work [19][20], we obtained model to define channel availability model, i.e., the feasible channel accessible of each channel.…”

“…However, the existence of Nash equilibrium is not explored which incurs channel switching overhead due to interference when mobility speed is increased. To address overhead due to mobility, this work presents an accurate estimation of channel accessibility likelihood using continuous-time Markov chain [19][20] and a Hybrid spectrum access model (HSAM) for multi-channel CR-WSN. Further, a game theory model for HSAM for existence of pure or fine-grained Nash equilibrium is presented.…”

Resource Allocation in Spectrum Deployment for Cognitive Third-party Users

“…The approach derives from a Markova chain model in developing a CRN operation for spectrum sensing. In the application of a wide area network, an opportunistic spectrum sensing approach using a cognitive sensor network was presented in [8]. This approach presented a likelihood distribution of channel availability using Markov chain computing for primary users using the spatial distribution of the channel.…”