ANCH: A New Clustering Algorithm for Wireless Sensor Networks

@article{Zanjireh2013ANCHAN,
  title={ANCH: A New Clustering Algorithm for Wireless Sensor Networks},
  author={Morteza Mohammadi Zanjireh and Alireza Shahrabi and Hadi Larijani},
  journal={2013 27th International Conference on Advanced Information Networking and Applications Workshops},
  year={2013},
  pages={450-455}
}
The adaptable and distributed nature of wireless sensor networks has made them popular in a broad range of applications. Clustering is a widely accepted approach for organising nodes in sensor networks to address the network congestion and energy efficiency concerns. In clustering, the number and uniform distribution of the cluster heads are crucial for the effectiveness of an algorithm. In this paper, we propose a new clustering algorithm for wireless sensor networks that reduces the networks… Expand
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References

SHOWING 1-10 OF 20 REFERENCES
Algorithms for Node Clustering in Wireless Sensor Networks: A Survey
TLDR
A comprehensive analysis of clustering algorithms available for WSN are provided and classify them based on the cluster formation parameters and cluster head (CH) election criteria to provide better data aggregation and scalability for the sensor network while conserving limited energy. Expand
An Energy-Efficient Clustering Algorithm for Multihop Data Gathering in Wireless Sensor Networks
TLDR
This work proposes an efficient dynamic clustering algorithm to achieve a network-wide energy reduction in a multihop context and presents a realistic energy dissipation model based on the results from stochastic geometry to accurately quantify energy consumption employing the proposed clustering algorithms for various sensor node densities, network areas and transceiver properties. Expand
The Adaptive Cluster Head Selection in Wireless Sensor Networks
TLDR
Adaptive cluster head selection that reorganizes the clustering, considering the position between a cluster head and the nodes in a cluster is proposed. Expand
Analysis of Energy Consumption for a Biological Clustering Method in Sensor Networks
In this paper we present an analytical model for performance evaluation of a clustered sensor network. We examine the energy required for a single round of clustering for a biologically-inspiredExpand
SEP: A Stable Election Protocol for clustered heterogeneous wireless sensor networks
TLDR
This work proposes SEP, a heterogeneous-aware protocol to prolong the time interval before the death of the first node (the authors refer to as stability period), which is crucial for many applications where the feedback from the sensor network must be reliable. Expand
Cluster-head election using fuzzy logic for wireless sensor networks
TLDR
A fuzzy logic approach to cluster-head election is proposed based on three descriptors-energy, concentration and centrality and shows that depending upon network configuration, a substantial increase in network lifetime can be accomplished as compared to probabilistically selecting the nodes as cluster-heads using only local information. Expand
A centralized energy-efficient routing protocol for wireless sensor networks
TLDR
A centralized routing protocol called base-station controlled dynamic clustering protocol (BCDCP), which distributes the energy dissipation evenly among all sensor nodes to improve network lifetime and average energy savings and is compared to clustering-based schemes. Expand
Protocols for self-organization of a wireless sensor network
TLDR
A suite of algorithms for self-organization of wireless sensor networks in which there is a scalably large number of mainly static nodes with highly constrained energy resources and support slow mobility by a subset of the nodes, energy-efficient routing, and formation of ad hoc subnetworks. Expand
An application-specific protocol architecture for wireless microsensor networks
TLDR
This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality. Expand
Energy-efficient communication protocol for wireless microsensor networks
TLDR
LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed. Expand
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