Towards an Extensible and Scalable Energy Harvesting Wireless Sensor Network Simulation Framework

被引：6

作者：

Allen, James ^{[1
]}

Forsha, Matthew ^{[1
]}

Thomas, Nigel ^{[1
]}

机构：

[1] Newcastle Univ, Sch Comp Sci, Newcastle Upon Tyne, Tyne & Wear, England

来源：

ICPE'17: COMPANION OF THE 2017 ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING | 2017年

基金：

英国工程与自然科学研究理事会;

关键词：

Wireless Sensor Networks; Energy Harvesting; IoT;

D O I：

10.1145/3053600.3053610

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Energy harvesting approaches are of increasing interest in the context of Wireless Sensor Networks. Energy harvesting as a source of intermittent power offers significant opportunities to extend the operating lifetime of sensors in a number of key application areas, including environmental monitoring and healthcare. This paper surveys existing simulation tool support, and highlights through experimentation the need for more expressive modelling approaches, and presents visions to enhance simulation support for EH-WSN.

引用

页码：39 / 42

页数：4

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