Performance Analysis of Leach Protocol in Wireless Sensor Network

2019 ◽  
Author(s):  
Akash Chandanse ◽  
Pratik Bharane ◽  
Sujoy Anchan ◽  
Hemlata Patil
Keyword(s):  
Wireless Sensor Network ◽  
Performance Analysis ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Leach Protocol

Performance Analysis Of LEACH Protocol For Wireless Sensor Network

2014 ◽  
Vol 3 (1) ◽  
pp. 12-16
Author(s):  
Mohit Mungali ◽  
◽  
Rajesh Singh ◽  
Hardwari Lal Mandoria ◽  
◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Performance Analysis ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Leach Protocol

Performance Analysis on LEACH Protocol in Wireless Sensor Network (WSN) Under Black Hole Attack

2018 ◽  
Vol 24 (3) ◽  
pp. 1791-1794 ◽  
Author(s):  
Khairul Akram Zainol Ariffin ◽  
Rozita Mohd Mokhtar ◽  
Abdul Hadi Abd Rahman
Keyword(s):  
Black Hole ◽  
Wireless Sensor Network ◽  
Performance Analysis ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Black Hole Attack ◽  
Leach Protocol

scholarly journals Performance Analysis of Wireless Sensor Network Based on OPNET

2013 ◽  
Vol 05 (03) ◽  
pp. 512-516 ◽  
Author(s):  
Yi Sun ◽  
Yue Sun ◽  
Peng Xu ◽  
Haocheng Liu
Keyword(s):  
Wireless Sensor Network ◽  
Performance Analysis ◽  
Sensor Network ◽  
Wireless Sensor

scholarly journals Enhance the Performance of Wireless Sensor Network based on Software Define Network and Kalman Filter

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 04) ◽  
pp. 1436-1448
Author(s):  
Jumana Suhail ◽  
Dr. Khalida Sh. Rijab
Keyword(s):  
Kalman Filter ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Average Density ◽  
Wireless Sensor ◽  
Buffer Memory ◽  
Leach Protocol ◽  
Subsequent Step ◽  
Random Node ◽  
Software Define Network

The paper proposes a methodology for estimating packet flowing at the sensor level in SDN-WSN based on the partial congestion controller with Kalman filter. Furthermore, the actual purpose of proposing such methodology for predicting in advance the subsequent step of packet flow, and that will consequently contribute in reducing the congestion that might happen. The model proposed (SDN with Kalman filter) is optimized using congestion controller, the methodology of proposed work, the first step random distributed of random node, the apply the Kmean cluster of select the head cluster node in, the connected the network based on LEACH protocol. in this work proposed SDN with Kalman filter for control on network and reduce error of data, where achieve by add buffer memory for each nodes and head cluster to store the data, and SDN control on transmit ion data and receiver data, before transmit apply the Kalman filter on data to reduce error data. The proposed technique, according to simulation findings, extends the network's lifetime by over 30% more than typical WSNs, the reduce the average density of memory to 20% than traditional WSN, and the increase the average capacity of memory to 20% than traditional WSN.

Sign in / Sign up

Export Citation Format

Share Document