MDRP: An Energy-Efficient Multi-Disjoint Routing protocol in WSNs for Smart Grids

被引:1
作者
Deepa, K. [1 ]
Zaheeruddin [2 ]
Vashist, Shruti [1 ]
机构
[1] Manav Rachna Univ, Dept Elect & Commun Engn, Faridabad, India
[2] Jamia Millia Islamia, Dept Elect Engn, New Delhi, India
来源
INTERNATIONAL JOURNAL ON SMART SENSING AND INTELLIGENT SYSTEMS | 2020年 / 13卷 / 01期
关键词
WSN in smart grids; Work sleep approach; Spanning tree; Optimal path cost; Energy efficiency; WIRELESS SENSOR NETWORKS;
D O I
10.21307/ijssis-2020-016
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
Rapid increase in sensor electronics has expanded the call for sensor networks in IoT-based devices. Smart grid is a part of IoT framework, which can be used to screen and manage traffic congestion, electricity influxes, extreme weather, and so on. This is done through a network of transmission lines, smart sensors, and smart meters. It is required to distribute and accumulate information remotely on timely basis from different stages of the grid. The periodic data from the smart meters are transferred to MDMS through WSN's. In WSN's, depletion of energy due to unequal load on the sensors is a serious issue, which is to be addressed as it affects the operations of the entire network. To assist these traffic requirements and to boost the network lifetime, asynchronous work sleep cycle approach can be used to create node connections. In this article, an energy-efficient adaptive fuzzy-based multi-disjoint routing protocol in WSN's for smart grids abbreviated as (MDRP) is proposed, where the next hop node is decided through fuzzy logic. Once the subsequent node is decided, a spanning tree is constructed with the sink node as its root, which calculates the optimal path cost, to transmit the collected data. Furthermore, the simulation results show that the proposed MDRP performs better in terms of network lifetime, packet delivery ratio, total energy consumption, etc.
引用
收藏
页码:1 / 15
页数:15
相关论文
共 34 条
  • [21] Reliability in wireless sensor networks: A survey and challenges ahead
    Mahmood, Muhammad Adeel
    Seah, Winston K. G.
    Welch, Ian
    [J]. COMPUTER NETWORKS, 2015, 79 : 166 - 187
  • [22] An Energy Efficient Fuzzy Logic Cluster Formation Protocol in Wireless Sensor Networks
    Mhemed, Rogaia
    Aslam, Nauman
    Phillips, William
    Comeau, Frank
    [J]. ANT 2012 AND MOBIWIS 2012, 2012, 10 : 255 - 262
  • [23] Adaptive Fuzzy-Based Energy and Delay-Aware Routing Protocol for a Heterogeneous Sensor Network
    Mothku, Sai Krishna
    Rout, Rashmi Ranjan
    [J]. JOURNAL OF COMPUTER NETWORKS AND COMMUNICATIONS, 2019, 2019
  • [24] C-Sync: Counter-based synchronization for duty-cycled wireless sensor networks
    Ng, Kok-Poh
    Tsimenidis, Charalampos
    Woo, Wai Lok
    [J]. AD HOC NETWORKS, 2017, 61 : 51 - 64
  • [25] NIST, 2013, NIST "sg NIST
  • [26] Priya D, 2017, 2017 INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING (ICCSP), P1828, DOI 10.1109/ICCSP.2017.8286711
  • [27] Fuzzy Temporal Approach for Energy Efficient Routing in WSN
    Selvi, M.
    Logambigai, R.
    Ganapathy, S.
    Ramesh, L. Sai
    Nehemiah, H. Khanna
    Arputharaj, Kannan
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON INFORMATICS AND ANALYTICS (ICIA' 16), 2016,
  • [28] Energy and Congestion-Aware Routing Metric for Smart Grid AMI Networks in Smart City
    Ullah, Rehmat
    Faheem, Yasir
    Kim, Byung-Seo
    [J]. IEEE ACCESS, 2017, 5 : 13799 - 13810
  • [29] Yang G., 2018, Sensors, V18, P1
  • [30] Ying Zhang, 2006, Journal of Communications, V1, P12