Balancing Energy Loads in Wireless Sensor Networks through Uniformly Quantized Energy Levels-Based Clustering

Download

index.pdf

Date

2010-07-25

Author

ALİ, SYED AMJAD
Sevgi, Cuneyt
Koçyiğit, Altan

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

169
views

0
downloads

Clustering is considered a common and an effective method to prolong the lifetime of a wireless sensor network. This paper provides a new insight into the cluster formation process based on uniformly quantizing the residual energy of the sensor nodes. The unified simulation framework provided herein, not only aids to reveal an optimum number of clusters but also the required number of quantization levels to maximize the network’s lifetime by improving energy load balancing for both homogeneous and heterogeneous sensor networks. The provided simulation results clearly show that the uniformly quantized energy level-based clustering provides improved load balancing and hence, a longer network lifetime than existing methods.

Subject Keywords

Clustering, Energy load balancing, Network lifetime, Uniform quantization, Wireless sensor network.

URI

https://hdl.handle.net/11511/31407

DOI

https://doi.org/10.1109/sensorcomm.2010.10

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

Temporal resilience of deployment quality in surveillance wireless sensor networks Onur, Ertan; Delic, Hakan (2008-01-01) The network lifetime measures for wireless sensor networks are mostly based on the percentage of live sensors. However, the lifetime definition must be in accordance with the primary functionality of the network. In surveillance applications, the network must be regarded as dead if the required security level cannot be provisioned. In this paper, we analyze the temporal resilience of deployment quality in surveillance wireless sensor networks and propose several lifetime definitions. It is concluded that ha...
Deployment Challenges and Developments in Wireless Sensor Networks Clustering Doddapaneni, Krishna; Omondi, Fredrick A.; Ever, Enver; Shah, Purav; Gemikonakli, Orhan; Gagliardi, Roberto (2014-05-16) Clustering techniques for wireless sensor networks (WSNs) have been extensively studied and proven to improve the network lifetime, a primary metric, used for performance evaluation of sensor networks. Although introduction of clustering techniques has the potential to reduce energy consumption and extend the lifetime of the network by decreasing the contention through either power control or node scheduling, scalability remains an issue. Therefore, the optimality of the cluster size still needs to be thoro...
Static range assignment in wireless sensor networks Uzun, Erkay; Yazıcı, Adnan; Department of Computer Engineering (2010) Energy is a limited source in wireless sensor networks and in most applications, it is non-renewable; so designing energy-effcient communication patterns is very important. In this thesis, we deﬁne the static range assignment (SRA) problem for wireless sensor networks, which focuses on providing the required connectivity in the network with minimum energy consumption. We propose minimum spanning tree based (MST), pruned minimum spanning tree based (MSTP) and shortest path incremental (SPI) algorithms as eff...
Implementation of the heed clustering protocol with sleep scheduling in tinyos 2 on a wireless sensor network testbed Özkan, Canay; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2013) Energy efficient operation is often critical for wireless sensor networks (WSN), because network nodes operate on limited batteries. The aim of this thesis is to realize an implementation of an energy-efficient, scalable and competitive clustering protocol, HEED on MICAz motes using TinyOS 2 with further energy-efficiency enhancements. A working testbed is constructed, on which the network organizes itself to send periodic sensor measurements to a central station. In order to control overall energy consumpt...
Exploiting energy-aware spatial correlation in wireless sensor networks Shah, Ghalib A.; Bozyigit, Muslim (2007-01-12) Wireless sensor networks (WSNs) promise fine-grain monitoring in a wide variety of applications, which require dense sensor nodes deployment. Due to high density of nodes, spatially redundant or correlated data is generated. Redundancy increases the reliability level of information delivery but increases the energy consumption of the nodes too. Since energy conservation is a key issue for WSNs, therefore, spatial correlation can be exploited to deactivate some of the nodes generating redundant information. ...

Citation Formats

S. A. ALİ, C. Sevgi, and A. Koçyiğit, “Balancing Energy Loads in Wireless Sensor Networks through Uniformly Quantized Energy Levels-Based Clustering,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31407.