Wireless sensor networks (WSNs) are composed of many low cost, low power devices with sensing, local processing and wireless communication capabilities. Recent advances in …
S Tyagi, N Kumar - Journal of Network and Computer Applications, 2013 - Elsevier
In recent years, Wireless Sensor Networks (WSNs) have emerged as a new powerful technology used in many applications such as military operations, surveillance system …
T Bhatia, S Kansal, S Goel, AK Verma - Computers & Electrical Engineering, 2016 - Elsevier
Abstract A Wireless Sensor Network (WSN) is an aggregation of sensor nodes which are remotely deployed in large numbers, operate autonomously in an unattended environment …
H Dhawan, S Waraich - International Journal of Computer Applications, 2014 - Citeseer
Wireless sensor network consists of sensor nodes which are powered by battery; to communicate with each other for environment monitoring. Energy efficiency is the main …
J Gnanambigai, DN Rengarajan… - International Journal of …, 2012 - academia.edu
One of the important issues in wireless sensor networks is the inherent limited battery power of the network sensor nodes. The battery power in the sensor nodes plays an important role …
Even after 16 years of existence, low energy adaptive clustering hierarchy (LEACH) protocol is still gaining the attention of the research community working in the area of wireless sensor …
N Gautam, JY Pyun - Journal of communications and networks, 2010 - ieeexplore.ieee.org
Energy conservation is one of the most important issues for evaluating the performance of wireless sensor network (WSN) applications. Generally speaking, hierarchical clustering …
The performance of Wireless Sensor Networks (WSNs) faces a number of challenges. Of these challenges, energy consumption is considered a hot research area. Most WSN energy …
Y Liu, Q Wu, T Zhao, Y Tie, F Bai, M Jin - Sensors, 2019 - mdpi.com
Cluster-based hierarchical routing protocols play an essential role in decreasing the energy consumption of wireless sensor networks (WSNs). A low-energy adaptive clustering …