Energy efficient protocol for mobile Wireless Sensor Networks

Chourasia, Mritunjay Kumar; Panchal, Manish; Shrivastav, Anurag

doi:10.1109/ccintels.2015.7437883

Cited by 6 publications

(2 citation statements)

References 7 publications

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“…The authors in [10,11,15,16,34], Refs. [35,36,37,38,39,40,41,42,43,44,45,46,47] proposed fuzzy logic approaches for CH election in cluster-based HRPs. Each of these fuzzy logic-based approaches uses the partial combination of the parameters, residual energy, BS proximity, local distance, concentration, centrality, etc., to select CHs, but none of them uses an effective combination.…”

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

109

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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

109

View full text Add to dashboard Cite

show abstract

“…In this research [3], the approach of fuzzy logic is employed for choosing cluster head Wireless Sensor Networks. It was suggested to improve the lifetime of the network by two times compared to using LEACH and SEP with multi-hop transmission and to modify the technique of choosing cluster head which could extend the lifetime of Wireless Sensor Networks.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Network Energy Efficiency with Fuzzy Improved Heuristic A-Star Method

Soijoyo¹,

Wardoyo²

2017

ijacsa

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Abstract-Energy is a major factor in designing wireless sensor networks (WSNs). In order to extend the network lifetime, researchers should consider energy consumption in routing protocols of WSNs. Routing will serve to facilitate a number of sensors on the technology of WSNs to identify the optimal path and manage energy consumption saving at the time of transmitting data. Current Wireless Sensor Networks efficiency system uses node selection as the main parameter without applying path finding routing. It will not complete the optimization of energy. This research was designed to address the problem of energy optimization by using fuzzy-improved heuristic A-Star. A new algorithm named improved heuristic AStar was developed from previous A-Star algorithm. The result of fuzzy-improved heuristic A-Star indicated node sensor to sink destination saved 0.3698 joule energy dissipation which resulted in longer lifetime.

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Energy Efficient Data Gathering in Wireless Sensor Networks Using Rough Fuzzy C-Means and ACO

Mondal

Ghosh

Dutta

2017

Lecture Notes in Networks and Systems

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Energy efficient protocol for mobile Wireless Sensor Networks

Cited by 6 publications

References 7 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

Wireless Sensor Network Energy Efficiency with Fuzzy Improved Heuristic A-Star Method

Energy Efficient Data Gathering in Wireless Sensor Networks Using Rough Fuzzy C-Means and ACO

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