A Probability-Based Clustering Algorithm with CH Election for Expanding WSN Life Span

Clustering achieves energy efficiency and scalable performance in wireless sensor networks (WSNs). A cluster is formed by several sensors nodes, and one of them is elected as Cluster-head (CH). A CH collects information from the cluster members and sends aggregated data to the base station or another CH. This article proposes a new clustering algorithm (EMESISC) that is based on each node's probability of becoming a CH. This node's probability depends on its residual energy, buffer length, and received signal power. We compared EMESISC with LEACH algorithm. Simulation results showed that EMESISC is superior to LEACH.

• Publication year

  2020

• Venue

  Unknown venue

• Publication date

  Unknown publication date

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.4018/ijecme.2020010101
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• ENERGY EFFICIENT ROUTING PROTOCOLS IN WIRELESS SENSOR NETWORKS: A SURVEY

  2020cited by this paper
• Rethinking Cluster-based Routing in Wireless Sensor Networks

  2019cited by this paper
• LEACH Protocol and Its Improved Algorithm in Wireless Sensor Network

  2016cited by this paper
• A novel transmission range adjustment strategy for energy hole avoiding in wireless sensor networks

  2016cited by this paper
• Cluster formation techniques in hierarchical routing protocols for Wireless Sensor Networks

  2016cited by this paper
• An adaptive, energy-aware and distributed fault-tolerant topology-control algorithm for heterogeneous wireless sensor networks

  2016cited by this paper
• RMER: Reliable and Energy-Efficient Data Collection for Large-Scale Wireless Sensor Networks

  2016cited by this paper
• Energy harvesting and battery power based routing in wireless sensor networks

  2015cited by this paper
• A Distributed Fault-Tolerant Topology Control Algorithm for Heterogeneous Wireless Sensor Networks

  2015cited by this paper
• Synchronous contention-based MAC protocols for delay-sensitive wireless sensor networks: A review and taxonomy

  2014cited by this paper
• Survey and Taxonomy of Duty Cycling Mechanisms in Wireless Sensor Networks

  2014cited by this paper
• A Survey of Cross-Layer Designs in Wireless Networks

  2014cited by this paper
• Research on the algorithm of Load-balanced Hierarchical Topology Control for WSN

  2013cited by this paper
• Clustering with One-Time Setup for Reduced Energy Consumption and Prolonged Lifetime in Wireless Sensor Networks

  2013cited by this paper
• Analysis and Implementation of Improved - LEACH protocol for Wireless Sensor Network (I-LEACH)

  2013cited by this paper
• A Survey on Clustering Routing Protocols in Wireless Sensor Networks

  2012cited by this paper
• Energy Efficient and Balanced Cluster-Based Data Aggregation Algorithm for Wireless Sensor Networks

  2012cited by this paper
• Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges

  2012cited by this paper
• Energy consumption balancing (ECB) issues and mechanisms in wireless sensor networks (WSNs): a comprehensive overview

  2011cited by this paper
• A survey on cross-layer solutions for wireless sensor networks

  2011cited by this paper
• A Novel Cluster-Based Cooperative MIMO Scheme for Multi-Hop Wireless Sensor Networks

  2006cited by this paper
• Energy-constrained modulation optimization

  2005cited by this paper
• PEGASIS: Power-efficient gathering in sensor information systems

  2002cited by this paper
• An application-specific protocol architecture for wireless microsensor networks

  2002cited by this paper
• Application-specific protocol architectures for wireless networks

  2000cited 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

• Multi-Objective Decision-Making of Cluster Heads Election in Routing Algorithm for Field Observation Instruments Network

  2021cites this paper
• Design of Layered and Heterogeneous Network Routing Algorithm for Field Observation Instruments

  2020cites this paper
• A Step-Index Multimode Fiber-Optic Microbend Displacement Sensor Wavelength Dependent Loss

  2019cites this paper