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Abstract
After an introduction of cognitive radio (CR) technology in communication, the hot research topics are sensing, Primary User Interference (PUI), spectrum management, security, spectrum sharing, and environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems lays finding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). This article presents a novel cognitive radio algorithm called SenPUI for both mentioned main challenges, sensing and PUI. First, energy scan during the inactive portion of communication which is dynamic is done. Second, application packet based primary user identification for PUI avoidance is proposed as base solution. Both techniques described in this work are implemented and resulted in a significant reduction of the target problems estimated around 10-30% reduction in average. Main limitations of Wireless Sensor Network (WSN) such as memory, battery lifetime, and size are considered during the design and implementation of our solutions.
Highlights
The idea behind cognitive radio (CR) technology in a Wireless Sensor Network (WSN) is granting these small devices to make a decision defending in which they operate in a specific time and place to achieve end-to-end goals
With the unique characteristics and emerging challenges of real-time use of sensors in Cogitative Radio Wireless Sensor Network, CRWSN is far beyond the scope of CR itself, i.e., yet not designed with the consideration of real-time communication with respect to Non-Orthogonal Multiple Access (NOMA) which is growing as spectrally effective various access technique for the CR mobile networks, where increased users served at the same time-frequency but with different power levels [1]
Six crucial considerations throughout the entire implementation process are (I) beacon-enabled CRWSN, where whole licensed channels are assumed to have same channel gain, (II) sensing done by the WSN coordinator, (III) identification of Primary Users (PU) data packet done by both sender and receiver, (IV) to have an effective outcome we considered a beacon-enabled network of one WSN coordinator and Nnumber of sensor nodes in a star topology, (V) selection as well as notification of the selected channel for communication is the WSN coordinators function, and (VI) every time when a WSN coordinator receives a packet, it will check for current slot and if it is greater than or equal to the tenth slot, execute sensing and notify the network which channel is used for communication
Summary
The idea behind CR technology in a WSN is granting these small devices to make a decision defending in which they operate in a specific time and place to achieve end-to-end goals. Our hypothesis is that by implementing solutions for sensing and PU traffic identification in WSN it is likely to achieve QoS, long lifetime of the sensor, possible to search channel holes and allocate them on real time. To this end, we try to answer two major issues: (I) when to perform channel sensing to identify the free channel and (II) how to select a sensor as primary or secondary user depending on the type of packet exchanged (application packet-based classification).
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