Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks

Gupta, Indranil; Riordan, Denis; Sampalli, Srinivas

doi:10.1109/cnsr.2005.27

Cited by 402 publications

(272 citation statements)

References 6 publications

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“…We study different simulation tools used in previous studies [16][17][18][19][20][21][22]. There are many simulation tools to simulate the proposed protocol.…”

Section: Methodsmentioning

confidence: 99%

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Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks

Rana¹,

Bahar²,

Islam³

et al. 2015

IJCNIS

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Abstract-The Wireless Sensor Network (WSN) is made up with small batteries powered sensor devices with limited energy resources within it. These sensor nodes are used to monitor physical or environmental conditions and to pass their data through the wireless network to the main location. One of the crucial issues in wireless sensor network is to create a more energy efficient system. Clustering is one kind of mechanism in Wireless Sensor Networks to prolong the network lifetime and to reduce network energy consumption. In this paper, we propose a new routing protocol called Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol (FEMCHRP) for Wireless Sensor Network. The routing process involves the Clustering of nodes and the selection of Cluster Head (CH) nodes of these clusters which sends all the information to the Cluster Head Leader (CHL). After that, the cluster head leaders send aggregated data to the Base Station (BS). The selection of cluster heads and cluster head leaders is performed by using fuzzy logic and the data transmission process is performed by shortest energy path which is selected applying Dijkstra Algorithm. The simulation results of this research are compared with other protocols BCDCP, CELRP and ECHERP to evaluate the performance of the proposed routing protocol. The evaluation concludes that the proposed routing protocol is better in prolonging network lifetime and balancing energy consumption.

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“…We study different simulation tools used in previous studies [16][17][18][19][20][21][22]. There are many simulation tools to simulate the proposed protocol.…”

Section: Methodsmentioning

confidence: 99%

“…Many literatures have been proposed based on singlehop routing [3], multi-hop routing [5][6][7][8][9][10] and fuzzy logic [19][20][21][22] and also position based routing [10][11][12][13]. However, these solutions depend on one elected CHL to directly transmit aggregated data to the BS.…”

Section: Methodsmentioning

confidence: 99%

Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks

Rana¹,

Bahar²,

Islam³

et al. 2015

IJCNIS

View full text Add to dashboard Cite

show abstract

“…Some of the areas it has been applied to are clusterhead election [11], [13], security [12], [14], data aggregation [15], routing [16], [17], MAC protocols [18], and QoS [19], [20]. However, many existing system have not implemented fuzzy logic to control congestion.…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

IFCCDC: A Fuzzy Control based Congestion Detection and Control in Wireless Sensor Networks

Chakravarthi¹,

Gomathy²

2012

IJCA

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In Wireless Sensor Networks (WSN's), congestion plays an important role in degrading the performance of the network. Under idle condition, the network load is very low whereas when an event is detected the network load becomes high which leads to congestion. Due to congestion the overall performance of the network degrades. Hence it is necessary to detect and control congestion. In this paper an efficient technique to detect and control congestion has been proposed. The congestion is detected by calculating a metric called Congestion Degree (Cd). It is the ratio between packet inter arrival time and packet inter service time. Once the congestion is detected, it is notified using Implicit Congestion Notification (ICN) signaling. On receiving the congestion notification signal, the transmission rate is controlled in order to reduce congestion. Further congestion control is implemented using Fuzzy Logic Controller. The performance of the network is measured for delivery ratio with different transmission rate and the PDR is compared with CODA.

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“…The topology of WSN is a type of wireless network topology, and so previous protocols may not be well suited to it. WSN is made up of several clusters of sensors 4 . Each cluster is composed of many sensor nodes and one cluster head.…”

Section: The Topology Of Cwsnmentioning

confidence: 99%

“…However, the sensor node is limited by the energy resource, memory, computation, communication capability, etc 2 . Hence the topology of a Cluster-based Wireless Sensor Network (CWSN) has been proposed to prolong the lifetime of WSNs by decreasing the energy consumption of nodes 4,5 .…”

Section: Introductionmentioning

confidence: 99%

Optimal malicious agreement protocol for cluster-based wireless sensor networks

Yan¹,

Wang

Peng³

et al. 2014

ScienceAsia

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A wireless sensor network (WSN) is a distributed system that comprises thousands of sensor nodes and a sink. The sensor nodes communicate with other sensor nodes by using broadcast in the WSN and this leads to a severe problem. Hence many researchers proposed cluster schemes to prevent the broadcast storm. Cluster-based wireless sensor networks (CWSNs) have been studied more recently. In order to increase the capability of the fault-tolerance and reliability of CWSNs, the Byzantine agreement problem is revisited. A protocol for achieving the task of agreement between nodes in a CWSN is proposed in this paper. The proposed protocol is referred to as the optimal agreement protocol and is demonstrated to make each healthy node reach an agreement value to cope with the influence from faulty components in the CWSN.

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Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks

Cited by 402 publications

References 6 publications

Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks

Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks

IFCCDC: A Fuzzy Control based Congestion Detection and Control in Wireless Sensor Networks

Optimal malicious agreement protocol for cluster-based wireless sensor networks

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