Packet Scheduling in Rechargeable Wireless Sensor Networks under SINR Model  

作　　者：Baogui Huang Jiguo Yu Chunmei Ma Guangshun Li Anming Dong 

机构地区：[1]School of Computer Science,Qufu Normal University,Rizhao 276826,China [2]Big Data Institute,Qilu University of Technology,Jinan 250353,China [3]School of Computer Science and Technology,Qilu University of Technology(Shandong Academy of Sciences),Jinan 250353,China

出　　处：《China Communications》2023年第3期286-301,共16页中国通信（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grants 62272256,61832012,and 61771289;Major Program of Shandong Provincial Natural Science Foundation for the Fundamental Research under Grant ZR2022ZD03;the Pilot Project for Integrated Innovation of Science,Education and Industry of Qilu University of Technology(Shandong Academy of Sciences)under Grant 2022XD001;Shandong Province Fundamental Research under Grant ZR201906140028。

摘　　要：Two packet scheduling algorithms for rechargeable sensor networks are proposed based on the signal to interference plus noise ratio model.They allocate different transmission slots to conflicting packets and overcome the challenges caused by the fact that the channel state changes quickly and is uncontrollable.The first algorithm proposes a prioritybased framework for packet scheduling in rechargeable sensor networks.Every packet is assigned a priority related to the transmission delay and the remaining energy of rechargeable batteries,and the packets with higher priority are scheduled first.The second algorithm mainly focuses on the energy efficiency of batteries.The priorities are related to the transmission distance of packets,and the packets with short transmission distance are scheduled first.The sensors are equipped with low-capacity rechargeable batteries,and the harvest-store-use model is used.We consider imperfect batteries.That is,the battery capacity is limited,and battery energy leaks over time.The energy harvesting rate,energy retention rate and transmission power are known.Extensive simulation results indicate that the battery capacity has little effect on the packet scheduling delay.Therefore,the algorithms proposed in this paper are very suitable for wireless sensor networks with low-capacity batteries.

关 键 词：packet scheduling physical interference model rechargeable sensor networks SINR model 

分 类 号：TP212.9[自动化与计算机技术—检测技术与自动化装置] TN929.5[自动化与计算机技术—控制科学与工程]