A wireless sensor network comprises a number of inexpensive power constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the …
Z Aliouat, S Harous - 2012 international conference on …, 2012 - ieeexplore.ieee.org
Due to their rapid and promising development, Wireless Sensor Networks (WSNs) have been predicted to invade all domains in our daily life in the near future. However in order to …
S Fazackerley, A Paeth… - … Canadian Conference on …, 2009 - ieeexplore.ieee.org
The LEACH algorithm for selecting cluster heads is a probabilistic method which produces clusters with a large variation of link distances and uneven energy consumption during the …
J Ferdous, Mst. Jannatul Ferdous, T Dey - J. Commun., 2010 - Citeseer
As wireless sensor networks are equipped with sensor nodes which have a limited energy and sensing capabilities, a good routing protocol must be designed to make the network …
KT Kim, HY Youn - International Journal of Distributed …, 2012 - journals.sagepub.com
Energy efficiency is a critical issue for sensor network since the network lifetime depends on efficient management of the energy resource of sensor nodes. Particularly, designing energy …
BK Debroy, MS Sadi, M Al Imran - J. Commun., 2011 - academia.edu
Enhancing lifetime of sensor nodes should be considered as the key design objective in Wireless Sensor Networks (WSN). A sensor node can only be equipped with a limited …
KT Kim, HK Yoo, BH Son… - 2010 10th IEEE …, 2010 - ieeexplore.ieee.org
Wireless sensor networks are widely used for gathering data in an autonomous fashion. Since sensors are power constrained devices, it is quite important for them to minimize the …
MJ Ferdous, J Ferdous, T Dey - 2009 12th International …, 2009 - ieeexplore.ieee.org
As wireless sensor networks are equipped with sensor nodes which have a limited energy and sensing capabilities, a good routing protocol must be designed to make the network …
A Ramli, D Grace - Transactions on Emerging …, 2016 - Wiley Online Library
This paper presents a methodology on how cognitive radio networks can form clusters by exploiting reinforcement learning‐based principles. Each node repeatedly senses the …