Uplink Adaptive Multimedia Delivery (UAMD) scheme for Video Sensor Network

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.