Cited 4 time in
Cited 4 time in
Adaptive Multi-Node Multiple Input and Multiple Output (MIMO) Transmission for Mobile Wireless Multimedia Sensor Networks
- Adaptive Multi-Node Multiple Input and Multiple Output (MIMO) Transmission for Mobile Wireless Multimedia Sensor Networks
- Cho, Sunghyun; Choi, Ji-Woong; You, Cheolwoo
- DGIST Authors
- Choi, Ji-Woong
- Issue Date
- Sensors, 13(10), 13382-13401
- Article Type
- Channel Capacity; Diversity; Mobile Antennas; Mobile Wireless; Mobile Wireless Multimedia Sensor Networks; Multi-Node Mimo; Multimedia Sensor Networks; Multiple Input and Multiple Outputs; Sensor Nodes; Space-Time Transmit Diversity; Spatial Correlation; Spatial Correlations; Transmission Reliability; Transmissions; Wireless Sensor Network (WSN)
- Mobile wireless multimedia sensor networks (WMSNs), which consist of mobile sink or sensor nodes and use rich sensing information, require much faster and more reliable wireless links than static wireless sensor networks (WSNs). This paper proposes an adaptive multi-node (MN) multiple input and multiple output (MIMO) transmission to improve the transmission reliability and capacity of mobile sink nodes when they experience spatial correlation. Unlike conventional single-node (SN) MIMO transmission, the proposed scheme considers the use of transmission antennas from more than two sensor nodes. To find an optimal antenna set and a MIMO transmission scheme, a MN MIMO channel model is introduced first, followed by derivation of closed-form ergodic capacity expressions with different MIMO transmission schemes, such as space-time transmit diversity coding and spatial multiplexing. The capacity varies according to the antenna correlation and the path gain from multiple sensor nodes. Based on these statistical results, we propose an adaptive MIMO mode and antenna set switching algorithm that maximizes the ergodic capacity of mobile sink nodes. The ergodic capacity of the proposed scheme is compared with conventional SN MIMO schemes, where the gain increases as the antenna correlation and path gain ratio increase. © 2013 by the authors; licensee MDPI, Basel, Switzerland.
- MDPI AG
- Related Researcher
Choi, Ji Woong
CSP(Communication and Signal Processing) Lab
Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
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- Department of Information and Communication EngineeringCSP(Communication and Signal Processing) Lab1. Journal Articles
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