RCSDN: A Distributed Balanced Routing Algorithm with Optimized Cluster Distribution

Delavar, Arash Ghorbannia; Artin, Javad; Tajari, Mohammad Mahdi

doi:10.7763/ijcee.2012.v4.564

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…Sensors, when receiving data or transmitting data, consume energy [7,13]. Standard radio model used in WSN, uses free space and multi-pass fading models depending on the distance between sender and receiver .…”

Section: Radio Modelmentioning

confidence: 99%

“…Standard radio model used in WSN, uses free space and multi-pass fading models depending on the distance between sender and receiver . This distance is the shortest crossover distance d crossover [7,9]. Transmit power equals [14]:…”

Section: Radio Modelmentioning

confidence: 99%

“…In LEACH algorithm; in each round, each node can be a CH or a common node. Whether a node can be a CH or not depends on the following threshold [2,7,8,9]:…”

mentioning

confidence: 99%

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CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN

Delavar

Baradaran

2012

INT J COMPUT COMMUN

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Abstract:In this paper, we have presented an algorithm, based on genetics and re-clustering, to reduce energy consumption in Wireless Sensor Networks. Algorithm CRCWSN could be best used by selected chromosomes in different states. In this algorithm, a new technique of selecting cluster head(CH) has been initially used by genetic algorithm. These CHs have been used individually in each round to transmit data. In this research, considering distance and energy parameters, we have created a target function having more optimum conditions, compared to previous techniques. The created target function has been evaluated by input chromosome, and the combination of chromosomes has been done by a new technique having more efficiency compared to previous similar techniques. Consequently, the timing of generation repeat is based on local distribution in chromosomes, and their using in sending data from source to destination that decrease generations' repeat, compared to previous methods .Results by simulation show that, at the end of each round, the number of alive nodes in the suggested algorithm increases, compared to previous methods, which increases network's lifetime.

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Section: Radio Modelmentioning

confidence: 99%

Section: Radio Modelmentioning

confidence: 99%

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CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN

Delavar

Baradaran

2012

INT J COMPUT COMMUN

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“…In HEED, sensors compute a probability of becoming CH, proportional to its residual energy and to a predetermined percentage of CHs and then, every sensor seeks the best CH to connect to. RCSDN [7] is a novel clustering algorithm a base on mean residual energy neighbor node, node come to CHcandidate if residual energy node is most that mean residual energy neighbor node. Some of the clustering algorithms employ fuzzy logic to handle uncertainties in WSNs.…”

Section: Introductionmentioning

confidence: 99%

Multi-hop Fuzzy Routing For Wireless Sensor Network With Mobile Sink

Nejadkheirallah¹,

Mohaddes²,

Tajari

et al. 2014

J. Math. Computer Sci.

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Using clustering methods in sensor networks improves their efficiency and management. Moreover, it brings with it the main parameter in sensor networks i.e. decrease in energy consumption. To transfer data to a sink in a network having many nodes, multi-hop methods have to be used. Also in many of the cases, there is a mobile sink (or user) in a network environment. In this paper, using fuzzy logic we present a routing method which divides the network into groups which are like clusters and has the ability of supporting the mobile sink. This routing method has been compared with other routing and clustering methods and the results show the efficiency of the mentioned method.

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“…Data gathered from member nods, before transferring to base station, are controlled in cluster head and then all data are sent to base station as a package (Heinzelman et al, 2002). Ghorbannia Delavar et al (2011) introduced a new hybrid routing algorithm with special parameters in wireless sensor network for network with significant number of sensors. The algorithm selects the cluster heads (CH) based on the scale of average local energy and the density surrounding each node.…”

Section: Introductionmentioning

confidence: 99%

Cluster heads optimum choice and route discovery by using fuzzy logic in wireless sensor networks

Ghaleh¹,

Zadeh²,

Saeedian³

2013

msl

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Optimum energy consumption in wireless sensitive networks plays an important role on network management. In the proposed model of this paper, first all the nods send the energy, station distance and density parameters to their fuzzy modules. According to each nod's fuzzy module outputs, a timer is activated for all nodes, which start reverse-counting from obtained value from fuzzy module. Timer of better nod comes to zero sooner and two best nods are selected in each zone (with the distance of r). One of them is introduced as superior cluster head and the other nods are connected to the closest cluster head. In addition, the cluster head not introduced as superior cluster head first collects data from neighbor's nods and then sends it to the superior cluster head after classifying data as package. The performance of the proposed model of this paper is compared with other methods and the preliminary results indicate that the proposed algorithm has increased first nod death time compared with other methods in the literature.

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RCSDN: A Distributed Balanced Routing Algorithm with Optimized Cluster Distribution

Cited by 6 publications

References 11 publications

CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN

CRCWSN: Presenting a Routing Algorithm by using Re-clustering to Reduce Energy Consumption in WSN

Multi-hop Fuzzy Routing For Wireless Sensor Network With Mobile Sink

Cluster heads optimum choice and route discovery by using fuzzy logic in wireless sensor networks

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