Optimized Combination of Local Beams for Wireless Sensor Networks
Autor: | Young-Dam Kim, Semyoung Oh, Daejin Park |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Surface (mathematics)
Computer science 02 engineering and technology Topology lcsh:Chemical technology Biochemistry Article analog uniform linear array Analytical Chemistry Reduction (complexity) 0203 mechanical engineering 0202 electrical engineering electronic engineering information engineering lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation Computer Science::Information Theory collaborative beamforming 020206 networking & telecommunications 020302 automobile design & engineering Atomic and Molecular Physics and Optics millimeter wave channel Simulated annealing Extremely high frequency simulated annealing Wireless sensor network Communication channel |
Zdroj: | Sensors, Vol 19, Iss 3, p 633 (2019) Sensors (Basel, Switzerland) Sensors Volume 19 Issue 3 |
ISSN: | 1424-8220 |
Popis: | This paper proposes an optimization algorithm to determine the optimal coherent combination candidates of distributed local beams in a wireless sensor network. The beams are generated from analog uniform linear arrays of nodes and headed toward the random directions due to the irregular surface where the nodes are mounted. Our algorithm is based on one of the meta-heuristic schemes (i.e., the single-objective simulated annealing) and designed to solve the objective of minimizing the average interference-to-noise ratio (INR) under the millimeter wave channel, which leads to the reduction of sidelobes. The simulation results show that synthesizing the beams on the given system can form a deterministic mainlobe with considerable and unpredictable sidelobes in undesired directions, and the proposed algorithm can decrease the average INR (i.e., the average improvement of 12.2 dB and 3.1 dB are observed in the directions of &pi 6 and 2 &pi 3 , respectively) significantly without the severe loss of signal-to-noise ratio (SNR) in the desired direction. |
Databáze: | OpenAIRE |
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