An improved cluster protocol design method for low energy uneven wireless sensor network

Deng, Min; Chuan, Xie

doi:10.1109/iccacs.2015.7361347

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…As the simulation results demonstrated, LEACH was improved by 40% in survival time. In [28], Min and Chun proposed a cluster-based HRP of two stages. In the first stage, the election of CHs is performed based on nodes’ residual energy and their relative position to the base satiation.…”

Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Hamzah

Shurman

Al-Jarrah

et al. 2019

Sensors

114

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In wireless sensor networks, the energy source is limited to the capacity of the sensor node’s battery. Clustering in WSN can help with reducing energy consumption because transmission energy is related to the distance between sender and receiver. In this paper, we propose a fuzzy logic model for cluster head election. The proposed model uses five descriptors to determine the opportunity for each node to become a CH. These descriptors are: residual energy, location suitability, density, compacting, and distance from the base station. We use this fuzzy logic model in proposing the Fuzzy Logic-based Energy-Efficient Clustering for WSN based on minimum separation Distance enforcement between CHs (FL-EEC/D). Furthermore, we adopt the Gini index to measure the clustering algorithms’ energy efficiency in terms of their ability to balance the distribution of energy through WSN sensor nodes. We compare the proposed technique FL-EEC/D with a fuzzy logic-based CH election approach, a k-means based clustering technique, and LEACH. Simulation results show enhancements in energy efficiency in terms of network lifetime and energy consumption balancing between sensor nodes for different network sizes and topologies. Results show an average improvement in terms of first node dead and half nodes dead.

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Section: Literature Reviewmentioning

confidence: 99%

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Hamzah

Shurman

Al-Jarrah

et al. 2019

Sensors

114

View full text Add to dashboard Cite

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“…Energy Efficient Uneven Clustering (EEUC) can effectively reduce the task of cluster heads and thus extends the life cycle of the network. The literature [14]- [16] improved the EEUC protocol to balance the energy consumption of cluster heads and extend the life of the network. Ant Colony Optimization (ACO) is used to optimize network routing.…”

Section: Introductionmentioning

confidence: 99%

Research on Uneven Clustering APTEEN in CWSN Based on Ant Colony Algorithm

Wang

2019

IEEE Access

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In this paper, APTEEN is applied to cognitive wireless sensor networks, and an ant colonybased uneven clustering APTEEN algorithm (ACUCAPTEEN) is proposed. The algorithm combines routing and spectrum allocation with cross-layer design method, improves energy efficient uneven clustering protocol and introduces it to APTEEN, and uses ant colony algorithm to complete inter-cluster path search, which reduces the task of cluster head. In the candidate cluster head selection process, the residual energy is not considered and the competition radius is fixed, so that the nodes with many idle channels but low residual energy become cluster heads, and the cluster heads far away from the base station still have more intra-cluster tasks with less residual energy. For these problems, an optimized ACUCAPTEEN algorithm(OACUCAPTEEN) is proposed to optimize the candidate cluster heads, the residual energy is taken as a factor of the candidate cluster head probability, and the competition radius is optimized. The simulation results show that the ACUCAPTEEN algorithm and optimization algorithm can reduce the node death rate and extend the network life cycle.

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An improved cluster protocol design method for low energy uneven wireless sensor network

Cited by 2 publications

References 10 publications

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Energy-Efficient Fuzzy-Logic-Based Clustering Technique for Hierarchical Routing Protocols in Wireless Sensor Networks

Research on Uneven Clustering APTEEN in CWSN Based on Ant Colony Algorithm

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