Node Level Energy Efficiency Protocol for Internet of Things

Vellanki, M; SPR, Kandukuri

doi:10.4172/2376-130x.1000140

Cited by 10 publications

(4 citation statements)

References 13 publications

(16 reference statements)

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“…After comparing our result with Node Level Energy Efficiency algorithm [18], we can say that our suggested procedure has maximum residual energy in comparison with other approaches.…”

Section: Figure 4: Residual Energy Consumptionmentioning

confidence: 88%

A Routing Algorithm to Optimize the Energy Efficacy of Nodes in Internet of Things

Roy¹,

Das²,

Das³

2018

IJCA

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The Internet of Things (IoT) is a powerful example that has made advancement in the almost every arena of human life. Its primary aim is that of connecting even the most mundane objects to provide a comfortable lifestyle. Hence, one of the major factors in IoT is the security issue. In this paper we will try to optimize the energy problems which occur for securing Internet of Things. For example, using the RFID labels, sensors etc, IoT have volunteered out from its previous versions and has changed the internet into a harmonized Future Internet. But with these advancements arises the need for high energy consumption. Our main goal is to propose an energy efficient protocol to improve the energy efficiency of nodes thereby securing the IoT. The authentication of this procedure is established in an IoT atmosphere with separate C platform.

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“…After comparing our result with Node Level Energy Efficiency algorithm [18], we can say that our suggested procedure has maximum residual energy in comparison with other approaches.…”

Section: Figure 4: Residual Energy Consumptionmentioning

confidence: 88%

A Routing Algorithm to Optimize the Energy Efficacy of Nodes in Internet of Things

Roy¹,

Das²,

Das³

2018

IJCA

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“…The total energy utilized by the network comprises of the energy utilized in transmission of data plus the energy consumed by all sensing nodes. e) Vellanki M et al [25] the authors have proposed a node level energy efficient (NLEE) protocol. The objective is to rope in energy efficiency for internet of things.…”

Section: Location Based Routingmentioning

confidence: 99%

A Comprehensive Review of Energy-Based Routing Strategies for Internet of Things

Srinivasulu¹

2021

ITII

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IoT is the acronym for Internet of Things acronym. At present IoT is a buzzword amongst academia, research and industry communities. Everything surrounded by us have developed abilities to communicate via the medium of internet. The Routing information plays a vital role in establishing communication between nodes in the space of IoT. Maximum energy of such connected nodes is consumed in the process of routing the packets. In this context optimizing the network lifetime with minimal energy consumption becomes important for efficient implementation of IoT infrastructure. This literature review is has the objective to identify the limitations existing in improving the network usability and thus enhance the network lifetime. The focus of this review is to consider various parameters like Quality of Service (QoS), efficient node deployment techniques, Network lifetime for Wireless Sensor Networks (WSN). A comprehensive and systematic study of Routing challenges encountered in an IoT network is accomplished. Further the performance of various energy routing protocols are studied.

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“…Reference [22] proposed a node-level energy efficiency protocol for IoT devices to improve the energy efficiency in an IoT network. The proposed algorithm uses transmission count makes the decision for finding the shortest hop count.…”

Section: Related Workmentioning

confidence: 99%

QoS Enabled Layered Based Clustering for Reactive Flooding in the Internet of Things

et al. 2019

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The Internet of Things has gained substantial attention over the last few years, because of connecting daily things in a wide range of application and domains. A large number of sensors require bandwidth and network resources to give-and-take queries among a heterogeneous IoT network. Network flooding is a key questioning strategy for successful exchange of queries. However, the risk of the original flooding is prone to unwanted and redundant network queries which may lead to heavy network traffic. Redundant, unwanted, and flooded queries are major causes of inefficient utilization of resources. IoT devices consume more energy and high computational time. More queries leads to consumption of more bandwidth, cost, and miserable QoS. Current existing approaches focused primarily on how to speed up the basic routing for IoT devices. However, solutions for flooding are not being addressed. In this paper, we propose a cluster-based flooding (CBF) as an interoperable solution for network and sensor layer devices which is also capable minimizing the energy consumption, cost, network flooding, identifying, and eliminating of redundant flooding queries using query control mechanisms. The proposed CBF divides the network into different clusters, local queries for information are proactively maintained by the intralayer cluster (IALC), while the interlayer cluster (IELC) is responsible for reactively obtain the routing queries to the destinations outside the cluster. CBF is a hybrid approach, having the potential to be more efficient against traditional schemes in term of query traffic generation. However, in the absence of appropriate redundant query detection and termination techniques, the CBF may generate more control traffic compared to the standard flooding techniques. In this research work, we used Cooja simulator to evaluate the performance of the proposed CBF. According to the simulation results the proposed technique has superiority in term of traffic delay, QoS/throughput, and energy consumption, under various performance metrics compared with traditional flooding and state of the art.

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Node Level Energy Efficiency Protocol for Internet of Things

Cited by 10 publications

References 13 publications

A Routing Algorithm to Optimize the Energy Efficacy of Nodes in Internet of Things

A Routing Algorithm to Optimize the Energy Efficacy of Nodes in Internet of Things

A Comprehensive Review of Energy-Based Routing Strategies for Internet of Things

QoS Enabled Layered Based Clustering for Reactive Flooding in the Internet of Things

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