Green two‐tiered wireless multimedia sensor systems

IET Communications(2016)

引用 5|浏览7
暂无评分
摘要
In wireless multimedia sensor systems (WMSSs), the devices are equipped with multiple energy‐constrained camera sensors (CSs) distributed over bandwidth‐constrained and lossy wireless channels, in catastrophe‐prone areas. Meanwhile, multimedia applications, e.g. video streaming, require considerable energy and bandwidth resources to gain long lifetime and high streaming quality. This study proposes an energy, bandwidth, and quality (EBQ) optimisation framework for green two‐tiered WMSSs. The first tier contains the CSs and the second tier includes cluster heads (CHs) selected from the CSs with higher available energy and processing capacity. In the EBQ optimisation framework, a rate allocation optimisation problem is formulated under given constraints of available backhaul bandwidth of the CHs and quality of received videos at base stations (BSs). This problem is solved for optimal encoding rates to packetise each video captured from different environments into multiple descriptions for transmission. Consequently, the average energy consumption per CS is minimised for long lifetime while conserving the bandwidth of the CHs and guaranteeing high quality of received videos for the purpose of monitoring at the BSs. Simulations demonstrate that the proposed EBQ optimisation framework can efficiently enhance the performance of green two‐tiered WMSSs in terms of minimum energy consumption, bandwidth efficiency, and high quality.
更多
查看译文
关键词
environmental factors,wireless sensor networks,video streaming,image sensors,wireless channels,optimisation,green two‐tiered wireless multimedia sensor systems,energy‐bandwidth‐and‐quality optimisation framework,multiple energy‐constrained camera sensors,bandwidth‐constrained wireless channels,lossy wireless channels,EBQ optimisation framework,green two‐tiered WMSS,cluster heads,energy resource,processing capacity,rate allocation optimisation problem,backhaul bandwidth resource constraint,received video stream quality,base stations,optimal encoding rates,minimum energy consumption,bandwidth efficiency
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要