Multi Parameters Based Heterogeneous Clustering Algorithm for Energy Optimization in WSN

Yadav, Adarsh Kumar; Rajpoot, Prince; Kumar, Pappu; Dubey, Kumkum; Singh, Shubham; Verma, Km Rashmi

doi:10.1109/confluence.2019.8776966

Cited by 8 publications

(2 citation statements)

References 28 publications

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“…In order to build and encourage more complicated IoT applica-tions with advanced capabilities, it is essential to integrate and compose smart functions or their services. These systems are formed by the aggregation of atomic services to include a new feature which cannot be performed independently by any service [7]. This integration should be based on service quality (QoS) and energy efficiency of compositional artifacts.Take an example of a dynamic, large-scale IoT ecosystem.…”

Section: Introductionmentioning

confidence: 99%

“…These methods, however, only took into account and addressed functional and non-functional programs. As already discussed, the composition of IoT resources should not only consider QoS, but also energy utilization and the amount of residual energy [9] as a result of the existence of IoT and intelligent objects. Any reports on the composition of IoT services dealing with energy consumption [10].…”

Section: Introductionmentioning

confidence: 99%

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Increased Energy Conservation in Internet of Things (IoT) Related Wireless Networking

Sripriya

Mallikeswari²,

Reshma³

2021

Advances in Parallel Computing Technologies and Applications

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The key emergent technology named Internet of Things (IoT) is used in various industries and daily activities of individuals. The IoT sensors are a battery operated one that is connected with internet over various services than ranges between healthcare and industries. Energy conservation or energy efficiency of these sensors is an utmost concern since most of the IoT devices powered with battery may often die while transmitting the data between the other devices. Various researches are conducted to conserve the energy via energy conserving mechanism. In this paper, we develop a multi-objective optimization model to resolve the higher energy consumption by the IoT devices under different diverse environment. These IoT devices communicates wirelessly with other devices in terms of WiFi connectivity and hence the study analyses the efficacy of the model. The experimental results show that the multi-objective modelling of energy conservation shows a reduced consumption of battery power by the IoT devices than conventional mechanisms.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%