An Intelligent Protocol to Channel Assignment in Wireless Sensor Networks: Learning Automata Approach
The optimal consumption of energy is one of the most important aims in Wireless sensor networks. Among influential factors in reducing the energy consumption ratio, we can mention intelligent allocation of channel to node and sending the data with the least rate of interference with other nodes. The successful execution of this act by MAC sub-layer depends on determining optimal values for factors such as percentage of duty cycle, random time to retest the channel an etc. Duty cycle, defined as the ratio of listening period to total period of listening and sleeping, is of great importance as the parameter of regulating node sleeping and listening time for ideal consumption of energy. There is presented an algorithm based on learning automat, called LA-MAC, which tries to reduce energy consumption by regulating optimally the duty cycle value, thereby increasing the lifetime of network. In this algorithm, each node is equipped with a learning automat which determines the value of duty cycle in terms of residual energy and preconflgured lifetime. The results of simulation in the environment of NS simulator confirm the efficiency of LA-MAC from four factors of the death time of the first node, end-toend delay, average network lifetime and the number of survived nodes at the end of simulation, performed in two different scenarios while compared with A-MAC and S-MAC with various duty cycles.
wireless sensor networks learning automat duty cycle channel assignment
Vahid Moghiss Mohammad Reza Meybodi Mehdi Esnaashari
Department of Computer Engineering Islamic Azad University-Qazvin branch Qazvin,Iran Soft Computing Laboratory,Computer Engineering and Information Technology Department Amirkabir Unive
国际会议
昆明
英文
338-343
2010-10-17（万方平台首次上网日期，不代表论文的发表时间）