Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing

被引:8
|
作者
Zhou, Ziqin [1 ]
Li, Xiaoyang [1 ]
You, Changsheng [1 ]
Huang, Kaibin [2 ]
Gong, Yi [1 ]
机构
[1] Southern Univ Sci & Technol SUSTech, Dept Elect & Elect Engn EEE, Shenzhen 518055, Peoples R China
[2] Univ Hong Kong HKU, Dept EEE, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Sensors; Servers; Task analysis; Energy consumption; Process control; Delays; Resource management; Joint sensing and communication rates control; differentiated radio resource management; mobile crowd sensing; energy efficiency; string-pulling structure; DIFFERENTIATED SERVICES; TRANSMISSION SCHEMES; RESOURCE-ALLOCATION; CALCULUS APPROACH; SYSTEMS; STATE; OPTIMIZATION; CHANNELS; QUALITY; EDGE;
D O I
10.1109/TWC.2022.3204269
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Driven by the rapid growth of Internet of Things applications, tremendous data need to be collected by sensors and uploaded to the servers for further process. As a promising solution, mobile crowd sensing (MCS) enables controllable sensing and transmission processes of multiple types of data in a single device. Despite the appealing advantages, existing works on MCS have mostly simplified two design issues, namely joint control of sensing and transmission processes and corresponding energy consumption. To address the above issues, a single-user MCS system is considered with a typical MCS device sensing and transmitting data to a server in a given time duration. In particular, there exists a busy time interval when the device is incapable of sensing. To minimize the sensing-and-transmission energy consumption of the device, an optimization problem is formulated, where the sensing and transmission rates are jointly optimized over time subjecting to the constraints on the sensing data sizes, transmission data sizes, data casualty, and busy time of sensing. This problem is highly challenging due to the coupling between the rates as well as the existence of the busy time. To deal with this problem, we first show that it can be equivalently decomposed into two subproblems, corresponding to a search for the amount of data size that needs to be sensed before the busy time (referred to as the height), as well as the control of sensing and transmission rates given the height. Next, we show that the latter problem can be efficiently solved by using the classical string-pulling method, while an efficient algorithm is proposed to progressively find the optimal height without the exhaustive search. Moreover, the solution approach is extended to a more complex scenario where there is a finite-size buffer at the server for receiving data. Last, simulations are conducted to evaluate the performance of the proposed designs.
引用
收藏
页码:1314 / 1327
页数:14
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