An Efficient Data Collection and Dissemination for IOT based WSN

被引:0
作者
Alduais, N. A. M. [1 ]
Abdullah, J. [1 ]
Jamil, A. [1 ]
Audah, L. [1 ]
机构
[1] Univ Tun Hussein Onn Malaysia UTHM, Dept Commun Engn, Batu Pahat, Johor, Malaysia
来源
7TH IEEE ANNUAL INFORMATION TECHNOLOGY, ELECTRONICS & MOBILE COMMUNICATION CONFERENCE IEEE IEMCON-2016 | 2016年
关键词
WSN; IOT; Data Collection; update data; Lifetime; Energy; WIRELESS SENSOR NETWORKS; PREDICTION;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Data collection issues play a significant role in the area of Wireless Sensor Networks (WSNs) and Internet of Things (IOT). Energy efficiency is affected by the number of data transmissions from the node to the Sink / base station (BS). Control of the update data is one of the feasible ways to reduce the messages sent by the nodes. In transmitting data strategies most of the WSN real-time data applications update the data directly, and some current study made a logical or absolute check to measure the change between the current and last sensor measuring value before updating the data. In this paper, we proposed a method to reduce the number of data transmissions as well as decrease the amount of data that will result in prolonging the lifetime of the network. The proposed method aims to reduce the number of transmitted messages via a node supporting single and multiple sensors based on the relative change or relative differences between the current and last sensor measured values transmitted. The results show the proposed method appears to deliver the best performance in terms of reducing the number of messages transitions and packets size, in this study the mean percentage of reducing the number of messages transmissions is 74%, and 80% is the mean percentage reduce of node packet size. From the results, it's clear that reduce the number of packet's transitions and reduce the node packet size, will result in a decrease the energy consumption as well as prolonging the lifetime of the system.
引用
收藏
页数:6
相关论文
共 50 条
[11]   Energy-Efficient Data Collection in WSN-MCN Convergence Architecture [J].
Xiao, Juan ;
Yin, Fei ;
Wang, Haifeng ;
Li, Zhenhong ;
Liu, Fuqiang ;
Wang, Ping .
PROCEEDINGS OF 2012 IEEE 14TH INTERNATIONAL CONFERENCE ON COMMUNICATION TECHNOLOGY, 2012, :524-530
[12]   SC-EEDC: Similarity Based Clustering for Energy Efficient Data Collection in WSN [J].
Licui, Zhang ;
Pengcheng, Wang ;
Chunxia, Zhang .
WIRELESS PERSONAL COMMUNICATIONS, 2021, 117 (02) :655-687
[13]   Energy Efficient and Low-latency Data Collection in TDMA-based WSN [J].
Zhu, Wenxiang ;
Xu, Pingping ;
You, Xingmiao ;
Yang, Chencheng ;
Bui, ThiOanh .
2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2015, :2020-2025
[14]   Network statistics-based routing and path orient data encryption scheme for efficient healthcare monitoring with IoT in WSN [J].
Vijayakumar, M. .
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2023, 36 (01)
[15]   Ant Colony Optimization Based Hierarchical Data Dissemination in WSN [J].
Boucetta, Cherifa ;
Idoudi, Hanen ;
Saidane, Leila Azouz .
2015 INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2015, :782-787
[16]   Compressive sensing based secure data aggregation scheme for IoT based WSN applications [J].
Salim, Ahmed ;
Ismail, Ahmed ;
Osamy, Walid ;
Khedr, Ahmed M. .
PLOS ONE, 2021, 16 (12)
[17]   A Review of Bulk Data Dissemination Protocols for Reprogramming in WSN [J].
Freeda, R. Adline ;
Sharmila, R. N. .
2016 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2016,
[18]   New approach based on Hilbert curve for energy efficient data collection in WSN with mobile sink [J].
Fellah, Khadidja ;
Kechar, Bouabdellah .
IET WIRELESS SENSOR SYSTEMS, 2020, 10 (05) :214-220
[19]   Data aggregation protocols for WSN and IoT applications-A comprehensive survey [J].
Begum, Beneyaz Ara ;
Nandury, Satyanarayana, V .
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES, 2023, 35 (02) :651-681
[20]   Algorithm of WSN data collection based on similarity prediction [J].
Li, Ping, 1600, Chinese Academy of Sciences (25)