能量有效移动人群感知的联合感知和通信速率控制
Joint Sensing and Communication-Rate Control for Energy Efficient Mobile Crowd Sensing
摘要：
在物联网应用快速增长的推动下，大量数据需要通过传感器收集并上传到服务器进行进一步处理。作为一种有前途的解决方案，移动人群感知使得能够在单个设备中对多种类型的数据进行可控的感知和传输过程。在本文中，一个典型的用户被认为是需要感测和发送数据到服务器，而它被假定为保持繁忙，无法在间隔期间感测数据。一个优化问题，制定最小化的数据感测和传输的能量消耗，通过控制随着时间的推移，感测和传输速率，受感测数据的大小，传输数据的大小，数据伤亡，和感测忙时间的约束。由于速率之间的耦合以及繁忙时间的存在，这个问题是非常具有挑战性的。为了处理这个问题，我们首先表明，它可以等效地分解成两个子问题，对应于搜索的数据大小的量，需要感测之前的繁忙时间（称为高度），以及给定的高度的感测和传输速率控制。接下来，我们表明，后者的问题可以有效地解决，通过使用经典的字符串拉动的方法，而提出了一个有效的算法，逐步找到最佳的高度，而无需穷举搜索。此外，解决方案的方法被扩展到一个更复杂的情况下，有一个有限大小的缓冲区在服务器上接收数据。最后，进行仿真，以评估所提出的设计的性能。
英文摘要：
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 enables controllable sensing and transmission processes for multiple types of data in a single device. In this paper, a typical user is considered that is required to sense and transmit data to a server, while it is assumed to remain busy and incapable of sensing data during an interval. An optimization problem is formulated to minimize the energy consumption of data sensing and transmission by controlling the sensing and transmission rates over time, subject to the constraints on the sensing data sizes, transmission data sizes, data casualty, and sensing busy time. 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 sensing and transmission rate control 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 design.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
