A novel optimal RFID network planning by MC-GPSO
The fast development of RFID technology having challenging of the optimal of RFID network are tags coverage, interference, economic efficiency and load balance. In this paper the novel approach of Mutli-Colony Global Particle Swarm Optimization (MC-GPSO) algorithm was used to deploy minimum number o...
Disimpan dalam:
| Pengarang-pengarang Utama: | , , , , , |
|---|---|
| Format: | Conference or Workshop Item |
| Diterbitkan: |
2015
|
| Subjek-subjek: | |
| Capaian Atas Talian: | http://eprints.uthm.edu.my/7269/ http://eprints.uthm.edu.my/7269/1/A_Novel_Optimal_RFID_Network_Planning.pdf |
| Penanda-penanda: |
Tambah Penanda
Tiada Penanda, Jadilah orang pertama menanda rekod ini!
|
| Ringkasan: | The fast development of RFID technology having challenging of the optimal of RFID network are tags coverage, interference, economic efficiency and load balance. In this paper the novel approach of Mutli-Colony Global Particle Swarm Optimization (MC-GPSO) algorithm was used to deploy minimum number of reader which covers all tags with minimum interference effect in large scale basis. The main aim of this algorithm is to divide the swarm in to multi-colony for achieving the optimal results as compared to the basis PSO. Simulation results show the optimal solution of RFID Network Planning (RNP). |
|---|