PCAC: Power- and Connectivity-Aware Clustering for Wireless Sensor Networks

In this article, we investigate clustering algorithms that are proposed for wireless sensor networks (WSNs). Then, we propose a clustering algorithm for WSNs called PCAC, that is both power and connectivity aware. Our proposed Power- and Connectivity-Aware Clustering (PCAC) algorithm provides higher energy efficiency and increases the total life time (TLT) of the network. We evaluate our proposed PCAC algorithm in a simulation environment and compare its performance to previously proposed algorithms. According to the simulation results, our proposed PCAC algorithm is energy efficient and also provides longer TLT (in worst-case, up to 85% improvement for a 15-node network with one-hop connectivity) to the network, compared to the previously proposed algorithms.

• Publication year

  2015

• Venue

  EURASIP Journal on Wireless Communications and Networking

• Publication date

  2015-03-20

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1186/S13638-015-0321-6
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Survey of Intrusion Detection Systems in Wireless Sensor Networks

  2014cited by this paper
• Intrusion prevention with two-level user authentication in heterogeneous wireless sensor networks

  2012cited by this paper
• Connectivity analysis of one-dimensional vehicular ad hoc networks in fading channels

  2012cited by this paper
• An efficient cluster-based power saving scheme for wireless sensor networks

  2012cited by this paper
• An Energy Consumption Balanced Clustering Algorithm for Wireless Sensor Network

  2010cited by this paper
• An Experimental Study of Hierarchical Intrusion Detection for Wireless Industrial Sensor Networks

  2010cited by this paper
• An Energy-Efficient K-Hop Clustering Framework for Wireless Sensor Networks

  2007cited by this paper
• Topology-based Clusterhead Candidate Selection in Wireless Ad-hoc and Sensor Networks

  2007cited by this paper
• An energy-efficient unequal clustering mechanism for wireless sensor networks

  2005cited by this paper
• EECS: an energy efficient clustering scheme in wireless sensor networks

  2005cited by this paper
• HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks

  2004influential reference
• An energy efficient hierarchical clustering algorithm for wireless sensor networks

  2003cited by this paper
• Effective intrusion detection using multiple sensors in wireless ad hoc networks

  2003influential reference
• An application-specific protocol architecture for wireless microsensor networks

  2002cited by this paper
• Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Energy-Efficient Communication Protocol for Wireless Microsensor Networks

  year unknowncited by this paper

• Myths about Coronavirus: A Research Defense

  2022cites this paper
• CSCRT Protocol with Energy Efficient Secured CH Clustering for Smart Dust Network Using Quantum Key Distribution

  2022cites this paper
• Metformin and Lactic Acidosis in Diabetic Patients

  2021cites this paper
• Processed Radio Frequency towards Pancreas Enhancing the Deadly Diabetes Worldwide

  2021cites this paper
• Secure and Reliable WSN for Internet of Things: Challenges and Enabling Technologies

  2021cites this paper
• How to fight the COVID-19 global crisis

  2021cites this paper
• Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures

  2019cites this paper
• RAM: Rotating Angle Method of Clustering for Heterogeneous-Aware Wireless Sensor Networks

  2019cites this paper
• A Review on Energy Efficient Clustering Protocol of Heterogeneous Wireless Sensor Network

  2017cites this paper
• Solar Energy Harvester for Wireless Sensor Networks

  2017cites this paper
• An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks

  2015cites this paper
• An intelligent solar energy-harvesting system for wireless sensor networks

  2015cites this paper