title: Study of multi-armed bandits for energy conservation in cognitive radio sensor networks.
abstract: Technological advances have led to the emergence of wireless sensor nodes in wireless networks. Sensor nodes are usually battery powered and hence have strict energy constraints. As a result, energy conservation is very important in the wireless sensor network protocol design and the limited power resources are the biggest challenge in wireless network channels. Link adaptation techniques improve the link quality by adjusting medium access control (MAC) parameters such as frame size, data rate, and sleep time, thereby improving energy efficiency. In this paper we present an adaptive packet size strategy for energy efficient wireless sensor networks. The main goal is to reduce power consumption and extend the whole network life. In order to achieve this goal, the paper introduces the concept of a bounded MAB to find the optimal packet size to transfer by formulating different packet sizes for different arms under the channel condition. At the same time, in achieve fast convergence, we consider the bandwidth evaluation according to ACK. The experiment shows that the packet size is adaptive when the channel quality changes and our algorithm can obtain the optimal packet size. We observe that the MAB packet size adaptation scheme achieves the best energy efﬁciency across the whole simulation duration in comparison with the ﬁxed frame size scheme, the random packet size and the extended Kalman filter (EKF).
authors.affiliation: Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan, Mianyang 621010, China. zhangjuan@swust.edu.cn.|School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China. zhangjuan@swust.edu.cn.
authors.forename: Juan
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan, Mianyang 621010, China. jianghong@swust.edu.cn.|School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China. jianghong@swust.edu.cn.
authors.forename: Hong
authors.initials: H
authors.lastname: Jiang
authors.affiliation: School of Electronics and Information, Tongji University, Shanghai 201804, China. huangzhenhua@tongji.edu.cn.
authors.forename: Zhenhua
authors.initials: Z
authors.lastname: Huang
authors.affiliation: Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan, Mianyang 621010, China. chenchunmei@swust.edu.cn.|School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China. chenchunmei@swust.edu.cn.
authors.forename: Chunmei
authors.initials: C
authors.lastname: Chen
authors.affiliation: Open Fund of Robot Technology Used for Special Environment Key Laboratory of Sichuan, Mianyang 621010, China. jianghong@swust.edu.cn.|School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, China. jianghong@swust.edu.cn.
authors.forename: Hesong
authors.initials: H
authors.lastname: Jiang