Abstract
This paper considers the deployment of a cognitive radio scheme in wireless sensor networks to achieve (1) fair spectrum allocation, (2) maximum spectrum utilization, and (3) priority-based sensor transmissions, while (4) avoiding unnecessary spectrum handover (or handoff). This problem is modelled as a bi-objective optimization problem. We apply modified game theory and a cooperative approach to identify an approximate optimal solution in reasonable time. We perform a series of numerical experiments to show that our scheme achieves fair spectrum allocation (in terms of proportional fairness) while observing transmission priorities and minimizing unnecessary spectrum handover.
Highlights
Radio frequency resources are rapidly becoming scarcer because of the dramatic increased use of wireless and mobile communication devices
We show that the proposed algorithm yieldsalgorithm fair spectrum reflecting the reflecting priority ofthe each sensor and avoiding show that the proposed yieldsallocation fair spectrum allocation priority of each sensor unnecessary spectrum handover
We considered the following goals: proportionally fair allocations, maximum spectral efficiency, allocation in proportion to the priority of each sensor, and avoidance of unnecessary spectrum handover
Summary
Radio frequency resources are rapidly becoming scarcer because of the dramatic increased use of wireless and mobile communication devices. Many researchers and practitioners believe that this paradox can be resolved by cognitive radio reassigning statically assigned but rarely used frequency resources to secondary (or unlicensed) users [1,2]. This would give unlicensed users the opportunity to access the lightly used spectrum along with the time or frequency domain. In healthcare or telemedicine, sensors are used to monitor a patient’s vital signs and transmit the data in a timely manner In this case, many sensors may transmit their monitored results concurrently, since different vital signs need to be transmitted immediately. We have established three criteria, outlined below, for the deployment of cognitive radio in WSNs
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