Multimodal Wireless Sensor Networks for Monitoring Applications: A Review

被引:19
作者
Aranda, Juan [1 ,2 ]
Mendez, Diego [2 ]
Carrillo, Henry [1 ,2 ]
机构
[1] Univ Sergio Arboleda, Sch Exact Sci & Engn, Calle 75 15-22, Bogota 110221, Colombia
[2] Pontificia Univ Javeriana, Dept Elect Engn, Cra 7 40-62,Jose Gabriel Maldonado SJ Bldg, Bogota 110231, Colombia
关键词
Energy efficiency; event-driven reporting; wireless sensor networks; duty-cycling; time-driven reporting; wake-up radio; WAKE-UP RADIO; DATA-GATHERING PROTOCOL; ROUTING PROTOCOLS; MAC PROTOCOL; TIME SYNCHRONIZATION; ISSUES; MODEL;
D O I
10.1142/S0218126620300032
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless sensor networks (WSNs) are a widely used solution for monitoring-oriented applications (e.g., water quality on watersheds, pollution monitoring in cities). These kinds of applications are characterized by the necessity of two data-reporting modes: time-driven and event-driven. The former is used mainly for continually supervising an area and the latter for event detection and tracking. By switching between both modes, a WSN can improve its energy efficiency and event-reporting latency, compared to single data-reporting schemes. We refer to those WSNs, where both data-reporting modes are required simultaneously, as multimodal wireless sensor networks (M2WSNs). In this paper, we present, from an energy-efficiency perspective, a review of switching mechanisms for M2WSNs. Besides, we explore two sophisticated techniques required in M2WSNs for further energy saving and event-reporting latency reduction purposes: duty-cycling and wake-up radio. We highlight future directions concerning switching and network management techniques for M2WSNs. To our knowledge, this review is first of its kind.
引用
收藏
页数:34
相关论文
共 81 条
[1]   Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications [J].
Abu Alsheikh, Mohammad ;
Lin, Shaowei ;
Niyato, Dusit ;
Tan, Hwee-Pink .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (04) :1996-2018
[2]  
Adulyasas A, 2013, 2013 IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE (CCNC), P653, DOI 10.1109/CCNC.2013.6488519
[3]   Clustering in sensor networks: A literature survey [J].
Afsar, M. Mehdi ;
Tayarani-N, Mohammad-H. .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2014, 46 :198-226
[4]  
[Anonymous], 2017, P 2017 INT C EMB WIR, DOI DOI 10.5555/3108009.3108016
[5]  
[Anonymous], ACM T SENS NETW
[6]  
[Anonymous], ARXIV14043589CSNI
[7]  
[Anonymous], WIRELESS SENSOR NETW
[8]  
[Anonymous], INT J DISTRIB SENS N
[9]  
[Anonymous], 2016, IEEE GLOBE WORK
[10]  
[Anonymous], J NETW COMPUT APPL