An Unequal Cluster-Radius Approach Based on Node Density in Clustering for Wireless Sensor Networks

Hamidzadeh, Javad; Ghomanjani, Mohammad Hadi

doi:10.1007/s11277-018-5779-1

Cited by 19 publications

(9 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For evaluation of the proposed E-FUCA protocol, simulation experiments are performed extensively for E-FUCA, DEFL [8], URBD [12], FUCA [10] and LEACH [11] under is that the proposed protocol can be applied to any type of application wherein the position of BS either can be at the centre of the field or beyond the boundaries of the target area at a remote place. The experimental values considered for different parameters are stated in Table 8.…”

Section: Simulation Experiments and Results Analysismentioning

confidence: 99%

“…It achieves better performance than its counterparts. URBD protocol [12] is another unequal clustering protocol that is based on the density of nodes for clustering. There are two phases in this protocol: CH selection and Member-Join.…”

Section: Pertinent Workmentioning

confidence: 99%

“…• We have designed FIS for the selection of next-hop so that energy efficiency can further be enhanced. • For gauging the performance of E-FUCA, simulation experiments are performed and obtained results are contrasted with the state of the art approaches such as FUCA [10], LEACH [11] and URBD [12] protocol. Experimental results validate the prolonged stability period, larger average energy with load balancing.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

Mehra

2021

Complex Intell. Syst.

View full text Add to dashboard Cite

With huge cheap micro-sensing devices deployed, wireless sensor network (WSN) gathers information from the region and delivers it to the base station (BS) for further decision. The hotspot problem occurs when cluster head (CH) nearer to BS may die prematurely due to uneven energy depletion resulting in partitioning the network. To overcome the issue of hotspot or energy hole, unequal clustering is used where variable size clusters are formed. Motivated from the aforesaid discussion, we propose an enhanced fuzzy unequal clustering and routing protocol (E-FUCA) where vital parameters are considered during CH candidate selection, and intelligent decision using fuzzy logic (FL) is taken by non-CH nodes during the selection of their CH for the formation of clusters. To further extend the lifetime, we have used FL for the next-hop choice for efficient routing. We have conducted the simulation experiments for four scenarios and compared the propound protocol’s performance with recent similar protocols. The experimental results validate the improved performance of E-FUCA with its comparative in respect of better lifetime, protracted stability period, and enhanced average energy.

show abstract

Section: Simulation Experiments and Results Analysismentioning

confidence: 99%

Section: Pertinent Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

Mehra

2021

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…URBD is a distributed clustering algorithm to solve the energy hole problem in WSN [46]. It starts with the CH selection phase in which the cluster's maximum arbitrary radius (RT) is assigned to each sensor node.…”

Section: Unequal Cluster-radius Based On Node Density (Urbd)mentioning

confidence: 99%

Unequal clustering in wireless sensor network: a review

Al-Ani

Abdullah

Yossuf

2021

IJEECS

View full text Add to dashboard Cite

<p><span>In recent time, the applications' diversity of wireless sensor network (WSN) attracts many researchers. WSN comprises of many sensor nodes with limited battery power. Therefore, energy consumption should be controlled to the optimum. Clustering is an efficient solution for energy management in WSN, but clustering does not consider the sink node location. It will cause the energy hole problem in multi-hop routing. Energy hole problem was solved by unequal clustering. A review of various unequal clustering mechanisms is presented in this paper. The comparison between the various mechanisms was based on cluster head election process, cluster properties, simulation parameters and energy efficiency to highlight a more efficient and scalable unequal clustering algorithm for </span>WSN.</p>

show abstract

“…WSN has been concern among civil and military applications. In such a situation, lots of sensors are required [2]. In WSN, the sensor node is the most important part, which is in charge of sensing, collecting and transmitting the detected data to a gateway or any centralised node, but acquiring such sensor data is difficult due to network lifetime, energy consumption and non‐rechargeable batteries.…”

Section: Introductionmentioning

confidence: 99%

Adaptive PSO with optimised firefly algorithms for secure cluster‐based routing in wireless sensor networks

Pavani

Rao

2019

IET wirel. sens. syst.

View full text Add to dashboard Cite

One of the important considerations in a sensor network is energy consumption. Cluster-based routing protocols are often proposed to reduce energy consumption. However, clusters are vulnerable due to malicious nodes. Malicious nodes inject fake messages to cluster-header, which increases communication overhead and energy consumption. Secure cluster-based routing is one of the most required solutions to consume more energy during data transmission. In this study, the authors propose a secure cluster-based routing protocol (SCBRP) that uses adaptive particle swarm optimisation (PSO) with optimised firefly algorithms during data transmission in a wireless sensor network. The objective of this study is to minimise energy consumption over an individual node to improve the whole network lifetime. The proposed SCBRP is based on the hexagonal sensor network architecture, and it is designed by three processes to include energy-efficient clustering, secure routing, and security verification. The performance of the proposed SCBRP is evaluated using NS-3, and it is estimated by different metrics such as encryption time, decryption time, energy consumption, packet drop rate, and network lifetime. The simulation results are compared with the previous approaches and finally, the authors' proposed SCBRP is proved that it obtained better performance than previous approaches.

show abstract

An Unequal Cluster-Radius Approach Based on Node Density in Clustering for Wireless Sensor Networks

Cited by 19 publications

References 32 publications

E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

E-FUCA: enhancement in fuzzy unequal clustering and routing for sustainable wireless sensor network

Unequal clustering in wireless sensor network: a review

Adaptive PSO with optimised firefly algorithms for secure cluster‐based routing in wireless sensor networks

Contact Info

Product

Resources

About