Improvement of Cluster Head Selection in LEACH for Reducing Energy Consumption in Wireless Sensor Networks

ALRUBAYE, Ali Qasim; Myderrizi, Indrit

doi:10.19072/ijet.1093967

Cited by 3 publications

(2 citation statements)

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“…This method decreases energy consumption. After determining which cluster to join, standard nodes (not CHs) send a control packet to CHs to notify them that they have joined certain clusters [13].…”

Section: A Leach Protocolmentioning

confidence: 99%

“…Each cluster uses a variety of CDMA codes to transmit in order to reduce such interference. The first-order radio model, consisting of both transmitter and receiver electronics, and a transmitter amplifier presented in [13], provides a simple low-energy radio model in terms of energy requirements suitable for a complete analysis of radio signals to be filtered from neighboring clusters. Fig.…”

Section: ) Steady-state Phasementioning

confidence: 99%

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A Hybrid MFCM-PSO Approach for Tree-Based Multi-Hop Routing Using Modified Fuzzy C-Means in Wireless Sensor Network

Sikarwar,

Tomar

2023

IEEE Access

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A wireless sensor network (WSN) collects data from various monitoring systems using small sensor nodes (SNs). The WSN analyses and sends found data to the BS. SNs have a short lifespan, therefore the sensor network must gather and transmit data efficiently. Energy efficiency is the main difficulty in sensor network organisation. Sensor nodes require energy efficiency due to their high cost and limited capacity. This limitation significantly compromises the longevity of the network. The anticipated demands on a node's battery determine its lifespan. Sensor networks must be resilient to sensor node lifetime reduction. Energyefficient routing algorithms may increase the lifetime of multihop networks by selecting the most energyefficient approach. Unfortunately, the present technique has performance issues. Modified Fuzzy C-Means with Particle Swarm Optimization (MFCM-PSO) is a novel hybrid clustering method that combines fuzzy cmeans with PSO to address the shortcomings of existing methods that use FCM to determine cluster centres and then optimise them using PSO. The PSO helps choose optimum no. of clusters and CHs (Cluster Heads). This method uses 100 and 200 sensor nodes. We devised a hierarchical packet routing technique by introducing the concepts of Direct Cluster Head (DCH) and PCH (Parent Cluster Head), that are chosen based on distinct FF (Fitness Functions) and act as relays for a limited number of other CHs, saving network energy. The simulation results represents that the proposed MFCM-PSO method superior performance base EEHCHR on scenario-1, with 28% for FND (First Node Dead), 23% for HND (Half Node Dead), and 19% for LND (Last Node Dead), and on scenario-2, 8% for FND, 23% for HND, and assumed 36% for LND since no node dies up to 1500 rounds. Thus, the simulation results suggest that the MFCM-PSO method improves coverage, network energy, and lifetime efficiency over the EEHCHR method.

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Section: A Leach Protocolmentioning

confidence: 99%

Section: ) Steady-state Phasementioning

confidence: 99%