Performance analysis of an improved dynamic power management model in wireless sensor node

作     者：Anuradha Pughat Vidushi Sharma 

作者机构：School of Information and Communication Technology Gautam Buddha University Greater Noida India 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2017年第3卷第1期

页      面：19-29页

核心收录：

学科分类：0810[工学-信息与通信工程] 080904[工学-电磁场与微波技术] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 0839[工学-网络空间安全] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0835[工学-软件工程] 081001[工学-通信与信息系统] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Department of Science and Technology (DST), Govt. of India [SR/WOS-A/ ET-1043/2014(G) (C)] Gautam Buddha University 

主　　题：Dynamic power managementStochastic modelLifetime improvementEvent drivenPower consumptionWireless sensor nodeAnalyser basedEvent arrivalSimulation modelPower analysis 

摘      要：The energy consumption in the wireless sensor networks is a very critical issue which attracts immediate attention for the sake of the growing demand of the billion dollar market in future. The Dynamic Power Management （DPM） technique is a way of controlling and saving the energy usage in a sensor node. Previously, researchers have proposed lifetime improving stochastic models for wireless sensor networks and limited work has been done focusing on the wireless sensor node. This paper proposes an analyser based Semi-Markov model for DPM in the event-driven sensor node. The power consumption comparison with previously proposed models without this analyser shows the analyser significant contributes to lifetime improvement. The improved model is more power efficient, presents how the DPM model observes the input event arrival and power states of the sensor node components, and then dynamically manages the power consumption of the overall system. Further, to observe the effect of event arrival, missed events, waiting time, processor utilization on the power consumption and lifetime, the proposed DPM system with the single server queuing model is developed.