CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks

Kim, Jong‐Myoung; Park, Seon-Ho; Han, Yunghsiang S.; Chung, Tai-Myoung

doi:10.1109/icact.2008.4493846

Cited by 386 publications

(247 citation statements)

References 11 publications

Supporting

Mentioning

246

Contrasting

Unclassified

Order By: Relevance

“…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%

See 1 more Smart Citation

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

Chakravarthi¹,

Gomathy²

2012

IJCA

View full text Add to dashboard Cite

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.

show abstract

Section: Fuzzy Logic Controllermentioning

confidence: 99%

“…They are Buffer overflow, Channel contention, Packet collision, Many-to-one nature, etc. [11]. Buffer overflow occurs when the number of incoming packets is greater than the available buffer space.…”

Section: Introductionmentioning

confidence: 99%

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

Chakravarthi¹,

Gomathy²

2012

IJCA

View full text Add to dashboard Cite

show abstract

“…In WSNs, fuzzy logic has been used to improve decision-making, reduce resource consumption, and increase performance. Some of the areas it has been applied to are cluster-head election [19,20], security [21,22], data aggregation [23], routing [24,25], MAC protocols [26], and QoS [27,28]. However, not much work has been done on using fuzzy logic for event description and detection.…”

Section: Related Workmentioning

confidence: 99%

Event Detection in Wireless Sensor Networks – Can Fuzzy Values Be Accurate?

2010

View full text Add to dashboard Cite

Abstract. Event detection is a central component in numerous wireless sensor network (WSN) applications. In spite of this, the area of event description has not received enough attention. The majority of current event description approaches rely on using precise values to specify event thresholds. However, we believe that crisp values cannot adequately handle the often imprecise sensor readings. In this paper we demonstrate that using fuzzy values instead of crisp ones significantly improves the accuracy of event detection. We also show that our fuzzy logic approach provides higher detection precision than a couple of well established classification algorithms. A disadvantage of using fuzzy logic is the exponentially growing size of the rule-base. Sensor nodes have limited memory and storing large rulebases could be a challenge. To address this issue we have developed a number of techniques that help reduce the size of the rule-base by more than 70% while preserving the level of event detection accuracy.

show abstract

“…The approach does not require the complete information about the networks and shows excellent scalability in large network. In [10], the authors offer cluster head election mechanism using fuzzy logic called CHEF approach. CHEF generates a random number for each sensor like LEACH and determines node eligibility as CH.…”

Section: Related Workmentioning

confidence: 99%

A Fuzzy Logic based Joint Intra-cluster and Inter-cluster Multi-hop Data Dissemination Approach in Large Scale WSNs

Ranga¹,

Dave²,

Verma³

2015

March 29-30, 2015 Singapore

View full text Add to dashboard Cite

CHEF: Cluster Head Election mechanism using Fuzzy logic in Wireless Sensor Networks

Cited by 386 publications

References 11 publications

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

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

Event Detection in Wireless Sensor Networks – Can Fuzzy Values Be Accurate?

A Fuzzy Logic based Joint Intra-cluster and Inter-cluster Multi-hop Data Dissemination Approach in Large Scale WSNs

Contact Info

Product

Resources

About