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A Review on Sensor Node Placement Techniques in Wireless Sensor Networks

Husna Zainol Abidin, Norashidah Md. Din, Nurul Asyikin Mohamed Radzi, Zairi Ismael Rizman
2017 International Journal on Advanced Science, Engineering and Information Technology  
One way to provide Wireless Sensor Network (WSN) with maximum coverage, maximum connectivity, minimum deployment cost and minimum energy consumption is through an effective planning mechanism in arranging  ...  Sensor node placement schemes are needed to accommodate the balance of coverage and energy consumption since closer sensor nodes not only reduces the energy consumption but will result in the network coverage  ...  INTRODUCTION The advancement in wireless communications and electronics has led to the development of Wireless Sensor Network (WSN).  ... 
doi:10.18517/ijaseit.7.1.1514 fatcat:d6nolepiuffkhbs3ivxzoxqzcq

Coverage Maximization and Energy Conservation for Mobile Wireless Sensor Networks

Nor Azlina Ab. Aziz, Ammar W. Mohemmed, Mohamad Yusoff Alias, Kamarulzaman Ab. Aziz, Syabeela Syahali
2012 International Journal of Natural Computing Research  
This research is interested in solving the coverage and energy conservation issues of mobile wireless sensors using PSO.  ...  Mobile wireless sensor networks (WSN) coverage can be enhanced by moving the sensors so that a better arrangement is achieved. However, movement is a high energy consumption task.  ...  This research is interested in solving the coverage and energy conservation issues of mobile wireless sensors using PSO. The concept of PSO is introduced.  ... 
doi:10.4018/jncr.2012040103 fatcat:v2tgrylqkfbcxln6qblkgqftcy

Cellular learning automata based scheduling method for wireless sensor networks

M. Jahanshahi, M. R. Meybodi, M. Dehghan
2009 2009 14th International CSI Computer Conference  
Sleep scheduling is a mechanism in wireless sensor network to save energy.  ...  In wireless sensor network often micro-battery with very limited power provides the energy of sensor nodes.  ...  Cellular Learning Automata In this section cellular learning automata will be briefly reviewed.  ... 
doi:10.1109/csicc.2009.5349652 fatcat:tcav6f6z3vhdzogc2i7hh2s4ke

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).  ...  WSNs are composed of a large number of distributed sensor nodes operating on batteries; the objective of the topology control problem in WSNs is to select an appropriate subset of nodes able to monitor  ...  ACKNOWLEDGMENT This work was partially supported by the EU project ICT-2010-258307 EULER and by the EU and the Greek Ministry of Education, Lifelong Learning and Religious Affairs project "Digital School  ... 
doi:10.1109/melcon.2012.6196416 fatcat:h7xuwqjb4jewflo4htwfqq3me4

Learning Automata Based Face-Aware Mobicast

S. M. Safavi, M. R. Meybodi, M. Esnaashari
2014 Wireless personal communications  
Target tracking is one of the most popular applications of the wireless sensor networks.  ...  Wireless sensor  ...  Introduction Wireless sensor networks (WSNs) are a hi-technology that researchers have recently focused on.  ... 
doi:10.1007/s11277-014-1616-3 fatcat:o7fcigd3kze5rnktuub2xy4lw4

Cellular Learning Automata and Its Applications [chapter]

Amir Hosein Fathy Navid, Amir Bagheri
2013 Emerging Applications of Cellular Automata  
In the following, we introduce a sensor network application. • : j F b F ® is Intrusion Detection in Wireless Sensor Network Using Irregular Cellular Learning Automata Wireless Sensor Networks A Wireless  ...  In one of recent works, the authors suggested learning automata-based protocol for intrusion detection (LAID) in wireless sensor networks [27] .  ... 
doi:10.5772/52953 fatcat:4l32ozg3rvcufcrqqqmnoqyg6u

Adaptive, robotic, and mobile sensor systems for structural assessment

Dryver R. Huston, Jonathan Miller, Brian Esser, Shih-Chi Liu
2004 Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems  
The adaptive deployment of sensors requires mobile sensors and mechanisms, such as robots, to move the sensors into more advantageous positions.  ...  Structural sensing systems can use several different adaptive sensing techniques including adaptive signal processing, adaptive data acquisition protocols, rapidly deployable sensors and mobile sensors  ...  ACKNOWLEDGEMENTS This work has been funded in part by NSF, UVM URERCA and Microstrain Inc.  ... 
doi:10.1117/12.546606 fatcat:srjtx5oqpvejlgdteyom7xr5yu

Target Coverage and Network Connectivity Challenges in Wireless Sensor Networks

Deepa R, Revathi Venkataraman
2018 EAI Endorsed Transactions on Energy Web  
Target Coverage and Network Connectivity in Wireless Sensor Networks (WSNs) plays a momentous role in the field of monitoring environment, habitant observing, disaster recovery, surveillance, etc.  ...  This survey aims to provide a better perceptive of the existing open challenges and possible futuristic approaches for target coverage and network connectivity in wireless sensor networks.  ...  Introduction In recent times, wireless sensor networks were applied in numerous fields, such as surveillance, sensing and observing with two primary objectives: target coverage and network connectivity  ... 
doi:10.4108/eai.13-7-2018.165674 fatcat:kux6u65ohbc2bgaw3nlw7dgjku

An Active Region-based Storage Mechanism in Large Wireless Sensor Networks

Xiongzi Ge, Dan Feng, Lei Tian
2007 2007 International Conference on Networking, Architecture, and Storage (NAS 2007)  
Providing efficient and robust storage service in large sensor networks is critical and challenging.  ...  The ARS divides the whole network into geographical regional sub-networks, each of which contains sensor nodes and storage nodes, handled by an intelligent agent.  ...  Moreover, nodes mobility and resilience to nodes or network failure are considered in ARS.  ... 
doi:10.1109/nas.2007.8 dblp:conf/nas/GeFT07 fatcat:fa5s5km6qjd7lfnte6a4vhdy3m

Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions

Sohail Jabbar, Rabia Iram, Abid Ali Minhas, Imran Shafi, Shehzad Khalid, Muqeet Ahmad
2013 International Journal of Distributed Sensor Networks  
is survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing.  ...  We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural  ...  Sania Tariq, and Mr. Muhammad Irfan for their useful discussion on this research work.  ... 
doi:10.1155/2013/421084 fatcat:auqe54x6fjauddvdcktouyukae

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.  ...  The objective of the topology control problem in WSNs is to select an appropriate subset of nodes able to monitor a region at a minimum energy consumption cost and, therefore, extend network lifetime.  ...  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

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

M. Esnaashari, M.R. Meybodi
2011 Journal of Parallel and Distributed Computing  
In a mobile sensor network, this problem can be addressed by first deploying sensor nodes randomly in some initial positions within the area of the network, and then letting sensor nodes to move around  ...  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  ...  Section 2, gives a brief literature overview on deployment problem in mobile wireless sensor networks. Cellular learning automata will be discussed in section 3.  ... 
doi:10.1016/j.jpdc.2010.10.015 fatcat:jbip7tr3sjdgtmegolvmtvxngy

A Cellular Learning Automata Based Clustering Algorithm for Wireless Sensor Networks

M. Esnaashari, M. R. Meybodi
2008 Sensor Letters  
A wireless sensor network consists of many sensor nodes.  ...  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  ...  If s i is not a head or a member, then the status of s i is unspecified which is in contradiction with the result of Lemma 3. Therefore G 1 and G 2 are connected a.a.s. and hence the theorem.  ... 
doi:10.1166/sl.2008.m146 fatcat:4i7owvjbvrachkwuumwutnb3dm


2016 Procedia Computer Science  
Automata Based Approach in Wireless Sensor Networks S.  ...  Black Hole Attacks in Wireless Sensor Networks S.P.  ... 
doi:10.1016/s1877-0509(16)00132-0 fatcat:n6xmyqd54zhq3abpytexijodqy

Guest Editorial Special Issue on Internet of Things for Smart Ocean

Bin Lin, Lian Zhao, Himal A. Suraweera, Tom H. Luan, Dusit Niyato, Dinh Thai Hoang
2020 IEEE Internet of Things Journal  
efficiency in underwater wireless sensor networks.  ...  In the article "Receiver-only-based time synchronization under exponential delays in underwater wireless sensor networks," Liu et al. considered time synchronization in underwater wireless sensor networks  ... 
doi:10.1109/jiot.2020.3020444 fatcat:delnh2fehzczffi5vqh6nblmaq
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