Heterogeneous Clustering for Energy Optimization in Wireless Sensor Networks

Sharma, Vijeta; Rajpoot, Prince; Gupta, Amrita; Dubey, Kumkum; Pandey, Neha; Verma, Neetu

doi:10.1109/confluence.2019.8776933

Cited by 4 publications

(1 citation statement)

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“…The nodes relay data to CH and now CH is responsible for sending data to the base station (BS) in a single or multi-hop way after aggregating data [11], [12]. The BS has Internet access to make data accessible to the user and to alert the public [13]. We conclude that the clustering method minimizes overhead communication, reducing power consumption and interference among sensor nodes [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Increasing life-time of wireless sensor network using energy-efficient and fault tolerance algorithms

Sabah

Croock

2021

IJEECS

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Energy-efficiency ofwireless sensor networks (WSN) becomes an essential issue in the research area. This is because of the energy constraints in WSN that depend on a battery, which is difficult to replace or recharge; therefore, multiple clustering algorithms were proposed to achieve efficiency in using the available energy as much as possible. This paper proposed energy-efficient and fault-tolerance algorithms that enhance thelow energy adaptive clustering hierarchy (LEACH) protocol by three algorithms. The first focuses on selecting the best cluster head and the second focuses on minimizing the required nodes within the same cluster. Simultaneously, the third fault tolerance algorithm uses software engineering techniques like sleep schedules to increase network lifetime as much as possible. The testing results of the proposed algorithms prove the claim of enhancing the lifetime of WSN. In order to check improvement of lifetime of WSN we have compered the results of the proposed algorithms with standered algorthim. The results show prove the claim of enhancing the life-time of WSN, where the total lifetime of WSN rise from about 550 rounds to reach 4100 when utilized self-checking process and rised up to 5200 after enhance minimum distans.

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Section: Introductionmentioning

confidence: 99%