Emergency Data Identification and Sending Data with High Priority

被引:0
|
作者
Kiruthiga, V [1 ]
Srinivasan, N. [1 ]
机构
[1] Sathyabama Inst Sci & Technol, Dept Comp Sci & Engn, Chennai 600119, Tamil Nadu, India
来源
PROCEEDINGS OF THE 2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP) | 2018年
关键词
Internet of Things; Wireless sensorNetwork; Throughput; Congestion; Self Organizing Sensor (SOS); STABILITY;
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
Internet of Things (IoT) is widely used nowadays and is connected with Wireless Sensor Network (WSN) in order to stimulate and generate the electrical signals and send it to the destination point, where the controller can act immediately. Congestion may occur in the network which turns down the network performance. Traditional method that is used today helps us to explore all the routes between the nodes of source and destination which ends up in superfluous long path for the packets which are present and also it leads to end-to-end delay so there is no guaranteed real-time performance for the emergency packets. Proposed method is to use back pressure scheduling scheme along with the distributed algorithm, namely SOS algorithm to find the shortest path and send the emergency data with high priority along with multilevel priority whenever it is required with increase in performance, throughput and effective decrease in end-to-end delay in the network.
引用
收藏
页码:416 / 419
页数:4
相关论文
共 50 条
  • [21] Booster in High Dimensional Data Classification
    Kim, HyunJi
    Choi, Byong Su
    Huh, Moon Yul
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2016, 28 (01) : 29 - 40
  • [22] DATA ACQUISITION FOR THE IDENTIFICATION OF EXPLOSIVE ATMOSPHERES THROUGH WSN
    Romero Acero, Alvaro
    Marin Cano, Alejandro
    Jimenez Builes, Jovani Alberto
    BOLETIN DE CIENCIAS DE LA TIERRA, 2013, (34): : 34 - 41
  • [23] Quality of input data in emergency department simulations: Framework and assessment techniques
    Vanbrabant, Lien
    Martin, Niels
    Ramaekers, Katrien
    Braekers, Kris
    SIMULATION MODELLING PRACTICE AND THEORY, 2019, 91 : 83 - 101
  • [24] Priority-Based Data Gathering Framework in UAV-Assisted Wireless Sensor Networks
    Say, Sotheara
    Inata, Hikari
    Liu, Jiang
    Shimamoto, Shigeru
    IEEE SENSORS JOURNAL, 2016, 16 (14) : 5785 - 5794
  • [25] PTCP: A Priority-Driven Congestion Control Algorithm to Tame TCP Incast in Data Centers
    Zhuang, Jianhui
    Jiang, Xianliang
    Jin, Guang
    Zhu, Jiahua
    Chen, Haiming
    IEEE ACCESS, 2019, 7 : 38880 - 38889
  • [26] Enabling High Performance and Resource Utilization in Clustered Cache via Hotness Identification, Data Copying, and Instance Merging
    Li, Hongmin
    Wu, Si
    Li, Zhipeng
    Wang, Qianli
    Li, Yongkun
    Xu, Yinlong
    IEEE TRANSACTIONS ON COMPUTERS, 2025, 74 (02) : 371 - 385
  • [27] DeMix Workflow for Efficient Identification of Cofragmented Peptides in High Resolution Data-dependent Tandem Mass Spectrometry
    Zhang, Bo
    Pirmoradian, Mohammad
    Chernobrovkin, Alexey
    Zubarev, Roman A.
    MOLECULAR & CELLULAR PROTEOMICS, 2014, 13 (11) : 3211 - 3223
  • [28] A Novel Random Access Algorithm for Very High Frequency Data Exchange (VDE)
    Jiang, Yi
    Zheng, Yang
    Wang, Junsen
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (02)
  • [29] Numerical analysis of sparse initial data identification for parabolic problems
    Leykekhman, Dmitriy
    Vexler, Boris
    Walter, Daniel
    ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS-MODELISATION MATHEMATIQUE ET ANALYSE NUMERIQUE, 2020, 54 (04): : 1139 - 1180
  • [30] Achieving high data throughput in research networks
    Matthews, W
    Cottrell, L
    PROCEEDINGS OF CHEP 2001, 2001, : 409 - 411