Energy efficient and effective node deployment for wireless sensor network

被引:4
|
作者
Gupta, Sumit Kumar [1 ,2 ]
Kumar, Sachin [2 ]
Tyagi, Sudhanshu [3 ]
机构
[1] AKTU, Dept Elect & Commun Engn, SRMS Coll Engn & Technol, Lucknow, Uttar Pradesh, India
[2] Amity Sch Engn & Technol, Dept Elect & Commun Engn, Lucknow Campus, Lucknow, Uttar Pradesh, India
[3] Thapar Inst Engn & Technol Deemed Univ, Dept Elect & Commun Engn, Patiala 147004, Punjab, India
关键词
Internet of things; wireless sensor network; energy-efficient; active-passive node; stability; ROUTING PROTOCOL; OPTIMIZATION; ALGORITHM; LIFETIME; SCHEME;
D O I
10.1002/dac.5139
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
The development of tiny sensor nodes (SNs) has incarnated numerous applications in the field of wireless sensor networks (WSN). These devices became much popular in multidisciplinary research area such as the internet of things (IoT). However, the use of these devices has been restricted due to some constraints like SN energy, data aggregation, quality of service (QoS), reliability, SN deployment, scalability, energy consumption, and many more. Among all these constraints, we focus on SN energy, SN deployment, and energy consumption of the network. Because if the consumption of SN energy is less, network lifetime automatically increases. So, we propose active-passive node topology on deployed SNs which enhance the network lifetime. With the help of the proposed mechanism, the lifetime and stability have increased by 60% and 3%, respectively, as compared with directed diffusion protocol in Experiment 1. In another experiment, the lifetime has increased by 67%, 64%, and 62% as compared with LEACH, NEAP, and DREEP, respectively, in homogeneous environment. The proposed scheme also performed significant improvement in heterogeneous environment. The simulation performance shows that the proposed protocol increases the network lifetime and stability of the network.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] Memristor for Energy Efficient Wireless Sensor Node
    Halawani, Yasmin
    Mohammad, Baker
    Humouz, Dirar
    Al-Qutayri, Mahmoud
    Saleh, Hani
    2013 8TH INTERNATIONAL DESIGN AND TEST SYMPOSIUM (IDT), 2013,
  • [22] Sensors deployment in energy efficient wireless sensor networks
    Yu, L
    Wang, YM
    Zhang, HM
    2005 INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING PROCEEDINGS, VOLS 1 AND 2, 2005, : 875 - 878
  • [23] Sensor Node Deployment Strategy for Maintaining Wireless Sensor Network Communication Connectivity
    Tanabe, Shigeaki
    Sawai, Kei
    Suzuki, Tsuyoshi
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2011, 2 (12) : 140 - 146
  • [24] Energy Efficient Static Node Selection in Underwater Acoustic Wireless Sensor Network
    R. M. Gomathi
    J. Martin Leo Manickam
    Wireless Personal Communications, 2019, 107 : 709 - 727
  • [25] Energy Efficient Routing and Node Activity Scheduling in the OCARI Wireless Sensor Network
    Mahfoudh, Saoucene
    Minet, Pascale
    Amdouni, Ichrak
    FUTURE INTERNET, 2010, 2 (03): : 308 - 340
  • [26] Energy Efficient Static Node Selection in Underwater Acoustic Wireless Sensor Network
    Gomathi, R. M.
    Manickam, J. Martin Leo
    WIRELESS PERSONAL COMMUNICATIONS, 2019, 107 (02) : 709 - 727
  • [27] An Sensor Node Energy Improvement In-Network For Wireless Sensor Network
    Jori, Nalini
    Thune, Neeta
    1ST INTERNATIONAL CONFERENCE ON COMPUTING COMMUNICATION CONTROL AND AUTOMATION ICCUBEA 2015, 2015, : 88 - 94
  • [28] Wireless sensor node deployment research
    Peng, Haishen
    FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY II, PTS 1 AND 2, 2012, 503-504 : 1514 - 1517
  • [29] Optimized Node Deployment in Wireless Sensor Network for Smart Grid Application
    M. Vergin Raja Sarobin
    Wireless Personal Communications, 2020, 111 : 1431 - 1451
  • [30] A novel virtual force approach for node deployment in wireless sensor network
    Yu, Xiangyu
    Huang, Weipeng
    Lan, Junjian
    Qian, Xin
    2012 IEEE 8TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS), 2012, : 359 - 363