MultiModal Wireless Sensor Networks based on Wake-up Radio Receivers: An analytical Model for Energy Consumption

被引:8
作者
Aranda, Juan [1 ,2 ]
Schoelzel, Mario [3 ]
Mendez, Diego [2 ]
Carrillo, Henry [2 ]
机构
[1] Univ Sergio Arboleda, Exact Sci & Engn Sch, Bogota, Colombia
[2] Pontificia Univ Javeriana, Dept Elect Engn, Bogota, Colombia
[3] Nordhausen Univ Appl Sci, Dept Engn, Nordhausen, Germany
来源
REVISTA FACULTAD DE INGENIERIA-UNIVERSIDAD DE ANTIOQUIA | 2019年 / 91期
关键词
Energy efficiency; multimodal wireless sensor network; low-duty-cycling; wake-up radio; PROTOCOLS;
D O I
10.17533/udea.redin.20190401
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Traditionally, sophisticate power-aware wake-up techniques have been employed to achieve energy efficiency in Wireless Sensor Networks (WSNs), such as low-duty cycling protocols using a single radio architecture. These protocols achieve good results regarding energy savings, but they suffer from idle-listening and overhearing issues, that make them not reliable for most ultra-low power demanding applications, especially, those deployed in hostile and unattended environments. Currently, Wake-up Radio Receivers (WuRx) based protocols, under a dual-radio architecture and always-on operation, are emerging as a solution to overcome these issues, promising higher energy consumption reduction compared to classic wake-up protocols. By combining different transceivers and reporting protocols regarding energy efficiency, multimodality in WSNs is achieved. This paper presents an energy consumption estimation model that considers the behavior and performance of wake-up protocols based on WuRx in multi-hop communications under several cases instead of traditional low-duty cycling schemes. The results show that the WuRx with addressing does not significantly reduce the energy consumption compared to WuRx without addressing. In some cases, classic low-duty cycling protocols outperform WuRx based protocols, but in most cases, it is contrariwise, giving a strong motivation for considering multi-modal approaches in WSNs.
引用
收藏
页码:113 / 124
页数:12
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