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| Content Provider | IET Digital Library |
|---|---|
| Author | Eletreby, Rashad M. Elsayed, Hany M. Khairy, Mohamed M. |
| Abstract | Cognitive radios emerged as a solution to spectrum scarcity problem. The integration of cognitive radios and wireless sensor networks enables a new paradigm of communication, in which the sensor nodes can avoid heavily-crowded transmission bands by tuning their transmission parameters to less-crowded bands. The authors consider the problem of spectrum assignment for cognitive radio sensor network (CRSN) under coverage, interference, minimum data rate and power budget constraints. A mixed-integer non-linear programming problem formulation that addresses optimal power allocation, channel selection and node scheduling is presented. Following a practical assumption, that any CRSN node can only access one channel for its transmission with the CRSN base station, the problem is transformed to a binary linear programming (BLP) problem. Using the relaxation techniques, the problem is transformed to a linear programming problem that is solvable in polynomial time, and has the same optimal solution of the BLP problem. Hence, the minimum power algorithm that achieves the optimal solution of our problem is proposed. To further reduce the complexity of the solution, three heuristic lower-complexity algorithms are proposed to solve the problem: random, greedy and two-stage (decoupled) algorithms. |
| Starting Page | 3318 |
| Ending Page | 3325 |
| Page Count | 8 |
| ISSN | 17518628 |
| Volume Number | 8 |
| e-ISSN | 17518636 |
| Issue Number | Issue 18, Dec (2014) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-com/8/18 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-com.2014.0423 |
| Journal | IET Communications |
| Publisher Date | 2014-12-18 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Algebra Base Station Binary Linear Programming Problem BLP Problem Channel Selection Cognitive Radio Cognitive Radio Sensor Network CRSN Decoupled Algorithm Electromagnetic Compatibility Greedy Algorithm Heavily-crowded Transmission Band Avoidance Heuristic Lower-complexity Algorithm Integer Programming Interference Legislation, Frequency Allocation And Spectrum Pollution Linear Programming Minimum Data Rate Constraint Minimum Power Algorithm Mixed-integer Nonlinear Programming Problem Node Scheduling Nonlinear Programming Optimal Power Allocation Optimal Spectrum Assignment Optimisation Technique Polynomial Polynomial Time Power Budget Constraint Radio Frequency Interference Radio Network Radio Spectrum Management Random Algorithm Random Processes Relaxation Technique Scheduling Spectrum Scarcity Problem Statistics Two-stage Algorithm Wireless Channel Wireless Sensor Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Computer Science Applications |
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