Name
Abstract | ||
|---|---|---|
Lately Video Sensor Networks (VSN) are increasingly being used in the context of smart cities, smart homes, for environment monitoring, surveillance, etc. In such systems, due to limitations in the video sensor node resources, the most important factor is energy efficiency. Sensing, processing and transmitting are the main contributors to energy consumption in a video sensor node. Among these, wireless transmissions play a dominant role. An effective way for reducing energy consumption is to adjust the active time duration of node's radio transmission. However, this method has the main drawback that affects streaming quality in terms of throughput and delay. So, one of the big challenges when designing an energy-aware VSN is the trade-off between energy consumption and video streaming quality. This paper proposes an Uplink Adaptive Multimedia Delivery (UAMD) scheme that dynamically adjusts the wakeup/ sleep duration of video sensor nodes based on the node remaining battery levels and network traffic conditions. The UAMD algorithm employs a utility function in the decision on duty cycle adjustment process. Simulation results show how UAMD achieves good balance between energy consumption and throughput in comparison with other duty-cycle-based schemes. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICCW.2017.7962638 | 2017 IEEE International Conference on Communications Workshops (ICC Workshops) |
Keywords | Field | DocType |
uplink adaptive multimedia delivery,video sensor network,smart cities,smart homes,environment monitoring,surveillance,video sensor node,energy efficiency,energy consumption,wireless transmissions,radio transmission,network traffic | Sensor node,Key distribution in wireless sensor networks,Wireless,Efficient energy use,Computer science,Computer network,Real-time computing,Throughput,Wireless sensor network,Energy consumption,Telecommunications link | Conference |
ISSN | ISBN | Citations |
2164-7038 | 978-1-5090-1526-9 | 1 |
PageRank | References | Authors |
0.34 | 23 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bao Nguyen Trinh | 1 | 1 | 0.34 |
| Liam Murphy | 2 | 811 | 74.94 |
| Gabriel-Miro Muntean | 3 | 1880 | 143.82 |