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Cellular learning automata based scheduling method for wireless sensor networks

M. Jahanshahi, M. R. Meybodi, M. Dehghan
2009 2009 14th International CSI Computer Conference  
The algorithm is based on cellular learning automata.  ...  Sleep scheduling is a mechanism in wireless sensor network to save energy.  ...  The proposed method like the methods reported in [1] and [31] is based on S-MAC protocol [32] of wireless sensor networks.  ... 
doi:10.1109/csicc.2009.5349652 fatcat:tcav6f6z3vhdzogc2i7hh2s4ke

Cellular Automata for Topology Control in Wireless Sensor Networks Using Matlab [chapter]

Stavros Athanassopoulos, Christos Kaklamanis, Gerasimos Kalfountzos, Evi Papaioannou
2012 Lecture Notes in Electrical Engineering  
We use cellular automata for simulating topology control algorithms in wireless sensor networks (WSNs) using the Matlab programming environment.  ...  of simulations of topology control algorithms in WSN.  ...  Cellular automata have successfully been used as a means for modelling and simulation of topology control algorithms in Wireless Sensor Networks (WSN) (e.g., [3, 6, 11, 15] ).  ... 
doi:10.1007/978-94-007-4516-2_2 fatcat:vicbvbkrm5aqjjq7jsutrabyf4

Simulation of Topology Control Algorithms in Wireless Sensor Networks Using Cellular Automata

Stavros Athanassopoulos, Christos Kaklamanis, Gerasimos Kalfountzos, Panagiota Katsikouli, Evi Papaioannou
2013 International Journal of Communications, Network and System Sciences  
We use cellular automata for simulating a series of topology control algorithms in Wireless Sensor Networks (WSNs) using various programming environments.  ...  A cellular automaton is a decentralized computing model providing an excellent platform for performing complex computations using only local information.  ...  Cellular automata have successfully been used as a means for modeling and simulation of topology control algorithms in Wireless Sensor Networks (WSNs) [18] [19] [20] [21] [22] [23] .  ... 
doi:10.4236/ijcns.2013.67036 fatcat:4zfsj5bzhbb23noue2dorc5toe

An Adaptive Scheduling Algorithm for Set Cover Problem in Wireless Sensor Networks: A Cellular Learning Automata Approach

Reza Ghaderi, Mehdi Esnaashari, Mohammad Reza Meybodi
2012 International Journal of Machine Learning and Computing  
In this algorithm, each node is equipped with a learning automaton which locally decides for the node to be active or not based on the situations of its neighbors.  ...  In this paper, an scheduling algorithm is presented for solving the set cover problem using cellular learning automata.  ...  Manuscript In this paper, a distributed, adaptive scheduling algorithm based on cellular learning automata for wireless sensor networks is proposed.  ... 
doi:10.7763/ijmlc.2012.v2.203 fatcat:lmwkhyedonfhrpgw7c4a7zojra

A Coverage Monitoring algorithm based on Learning Automata for Wireless Sensor Networks [article]

Habib Mostafaei, Mehdi Esnaashari, Mohammad Reza Meybodi
2014 arXiv   pre-print
To cover a set of targets with known locations within an area with limited or prohibited ground access using a wireless sensor network, one approach is to deploy the sensors remotely, from an aircraft.  ...  This redundancy can also be used for extending the lifetime of the network, if a proper scheduling mechanism is available for scheduling the active and sleep times of sensor nodes in such a way that each  ...  In [23] authors proposed a cellular learning automaton based algorithm to monitor moving targets in networks.  ... 
arXiv:1409.1515v1 fatcat:gphayldlivaqjnlf3iilcc73ca

A cellular learning automata-based deployment strategy for mobile wireless sensor networks

M. Esnaashari, M.R. Meybodi
2011 Journal of Parallel and Distributed Computing  
One important problem which may arise in designing a deployment strategy for a wireless sensor network is how to deploy a specific number of sensor nodes throughout an unknown network area so that the  ...  In this paper, we propose a cellular learning automata-based deployment strategy which guides the movements of sensor nodes within the area of the network without any sensor to know its position or its  ...  Conclusion In this paper, a deployment strategy based on cellular learning automata called CLA-DS for mobile sensor networks was proposed.  ... 
doi:10.1016/j.jpdc.2010.10.015 fatcat:jbip7tr3sjdgtmegolvmtvxngy

Stochastic barrier coverage in wireless sensor networks based on distributed learning automata

Habib Mostafaei
2015 Computer Communications  
To cover a set of targets with known locations within an area with limited or prohibited ground access using a wireless sensor network, one approach is to deploy the sensors remotely, from an aircraft.  ...  This redundancy can also be used for extending the lifetime of the network, if a proper scheduling mechanism is available for scheduling the active and sleep times of sensor nodes in such a way that each  ...  In [23] authors proposed a cellular learning automaton based algorithm to monitor moving targets in networks.  ... 
doi:10.1016/j.comcom.2014.10.003 fatcat:6z6drpksx5cq5pxrzolj5qkxty

CAWS - Security Algorithms for Wireless Sensor Networks: A Cellular Automata Based Approach [article]

Nilanjan Sen, Indrajit Banerjee
2012 arXiv   pre-print
Security in the Wireless Sensor Networks (WSN) is a very challenging task because of their dissimilarities with the conventional wireless networks.  ...  In this paper we have proposed a set of cellular automata based security algorithms (CAWS) which consists of CAKD, a Cellular Automata (CA) based key management algorithm and CASC, a CA based secure data  ...  The binary, nearestneighbor, one-dimensional cellular automata are known as CAWS-Security Algorithms for Wireless Sensor Networks: A Cellular Automata Based Approach Nilanjan Sen 1 and Indrajit Banerjee  ... 
arXiv:1209.0286v1 fatcat:cogfvyajbjexnn666zpjwhwzmi

Cellular automata for topology control in Wireless Sensor Networks

Stavros Athanassopoulos, Christos Kaklamanis, Panagiota Katsikouli, Evi Papaioannou
2012 2012 16th IEEE Mediterranean Electrotechnical Conference  
We use cellular automata for simulating topology control algorithms in Wireless Sensor Networks (WSNs).  ...  A cellular automaton is a decentralized computing model providing an excellent platform for performing complex computations using only local information.  ...  We developed an Outer-Totalistic cellular automaton 2 for our simulation. Transition rules of Outer-Totalistic CA are based on the sum of the states of the neighbors.  ... 
doi:10.1109/melcon.2012.6196416 fatcat:h7xuwqjb4jewflo4htwfqq3me4

Deployment of a mobile wireless sensor network with k-coverage constraint: a cellular learning automata approach

M. Esnaashari, M. R. Meybodi
2012 Wireless networks  
Deployment of a wireless sensor network is a challenging problem, especially when the environment of the network does not allow either of the random deployment or the exact placement of sensor nodes.  ...  Despite its advantages, this deployment strategy covers every point within the area of the network with only one sensor node, which is not enough for applications with k-coverage requirement.  ...  Conclusion In this paper, a new deployment strategy based on cellular learning automata called CLA-EDS for mobile sensor networks was proposed.  ... 
doi:10.1007/s11276-012-0511-7 fatcat:727cry2rhrcuphbelucnpszxee

Energy-efficient network protocols and algorithms for wireless sensor networks

Jun Zheng, Petre Dini, Abbas Jamalipour, Pascal Lorenz, Do Van Thanh
2007 International Journal of Communication Systems  
wireless sensor networks.  ...  In the second paper 'Efficient Delaunay-based Localized Routing for Wireless Sensor Networks,' Wang and Li study the performance of several routing protocols on localized Delaunay triangulation and propose  ...  In the fifth paper 'Using Polynomial Regression for Data Representation in Wireless Sensor Networks,' Banerjee et al. propose a Tree based polynomial REGression algorithm (TREG) that addresses the problem  ... 
doi:10.1002/dac.842 fatcat:gx6i6oavsfh45c2f57boqcc7ua

A Cellular Learning Automata Based Clustering Algorithm for Wireless Sensor Networks

M. Esnaashari, M. R. Meybodi
2008 Sensor Letters  
In the second part of the paper, based on the proposed model a new clustering algorithm for sensor networks is designed.  ...  Clearly, algorithms for wireless sensor networks must be distributed in order to prevent single points of failure. Moreover, sensors in the network are limited in power, computational capacity and  ...  Esnaashari and Meybodi A Cellular Learning Automata Based Clustering Algorithm for Wireless Sensor Networks Cellular Automata Cellular automata are mathematical models for systems consisting of large  ... 
doi:10.1166/sl.2008.m146 fatcat:4i7owvjbvrachkwuumwutnb3dm

Simulating energy efficient wireless sensor networks using cellular automata

Xiaoyun Xu, Xi Zhang, Long Wang
2011 Proceedings of the 2011 Winter Simulation Conference (WSC)  
The results also indicate that a cellular automata is suitable for simulating large wireless sensor networks.  ...  This paper studies a field coverage problem of wireless sensor networks. The objective is to prolong the network life for active sensing coverage. The problem is modeled using cellular automata.  ...  CONCLUSION This study presents a new approach to simulate large wireless sensor networks using cellular automata.  ... 
doi:10.1109/wsc.2011.6148018 dblp:conf/wsc/XuZW11 fatcat:qz2jglqiavfyxn7mk3v44znpfi

Applications of learning automata in wireless sensor networks

Jalil Jabari Lotf, Mehran Hosseinzadeh, seyed hossein hosseini nazhad ghazani, Rasim M. Alguliev
2012 Procedia Technology - Elsevier  
We are dealing with a host of challenging issues in wireless sensor networks like: limited energy supply of a sensor, which is a threat for network life time, QOS needs and energy efficient routing.  ...  "Learning Automaton" is the answer to this question. If we equip the sensors with some intelligent automata, our network earns the ability of adapting itself with the environment when it changes.  ...  In [4] an algorithm named EEMLA (Energy Efficient Monitoring of wireless Sensor Network with Learning Automata) is proposed.  ... 
doi:10.1016/j.protcy.2012.02.015 fatcat:nrb5kvalk5en5fkrileu3brjyi

Improvement of Automated Learning Methods based on Linear Learning Algorithms

farzad kiani
2018 International Journal of Machine Learning and Networked Collaborative Engineering  
In future work, we have a plan in research study on wireless sensor networks based on the proposed algorithms.  ...  In the literature, many learning based techniques are applied on the above applications especially on wireless sensor networks. One the popular used models is cellular automata.  ... 
doi:10.30991/ijmlnce.2018v02i02.004 fatcat:tk27ydyo3ratljl7q7tkfwx4zq
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