A novel fuzzy based energy efficient routing for Internet of Things

Santiago, S.; Arockiam, L.

doi:10.1109/icammaet.2017.8186645

Cited by 6 publications

(4 citation statements)

References 6 publications

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“…M-RPL offers a way to maintain protection over the Internet of Things (IoT). Santiago, S. et al [17], suggested the concept and implementation of energy intensive IoT routing. The routing parameters are combined to maximize network performance.…”

Section: Literature Reviewmentioning

confidence: 99%

Trust Based Technique for the Multicasting in IoT

Kaur¹

2020

IJETER

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A network is defined as the collected information such as systems and organization that collectively form a group, this group is utilized to share information with one another. According, to computer terminology it is defined as the combinations of the computers that has been utilized to share the information or services through internet connection. There are two types of networks exists such as wired and wireless networks. The route is maintained within a local region, in this protocol and is termed as the routing zone. This research work is based on the multicasting for the path establishment from source to destination. The technique of multicasting is applied in the RPL routing protocol for the path establishment from source to destination. The multicasting technique will be based on the trust calculation. The path will be established from source to destination through nodes which have maximum trust. The trust based multicasting technique is implemented in network simulator version 2 and compared with RPL routing protocol in terms of delay, packet loss and throughput.

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Section: Literature Reviewmentioning

confidence: 99%

Trust Based Technique for the Multicasting in IoT

Kaur¹

2020

IJETER

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“…A study which optimized RPL OF to select best parent using the fuzzy logic was proposed by (Santiago & Arockiam 2017). The proposed OF used a Three phase fuzzy logic procedure to integrate five linguistic input variables HC, energy, ETX ,delay and Throughput: In the first phase, the ETX and delay are integrated to produce output variables call Quality of Service (QoS).…”

Section: Energy Consumption (Ec)mentioning

confidence: 99%

A Comprehensive Survey on Node Metrics of RPL Protocol for IoT

Saaidah¹,

Almomani²,

Al-Qaisi³

et al. 2019

MAS

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Internet of Things (IOT) system often consists of thousands of constrained connected devices. Resource-constrained devices one of critical issues in a low- power and lossy network LLNs. RPL is IPv6 routing protocol. It’s designed by IETF to be simple and inter-operable networking protocol to overcome these resource limitations. The RPL carries out Objective Functions (OFs) in the aim of finding the best path. The OFs chooses the best parent nodes aiming to build the route and optimize it. The metrics used to build the OF must be selected in an effective and accurate manner for finding the optimal path and meets all constraints. A survey about node metrics which can be utilized in OFs of RPL is presented, and node metrics calculations are explained then discussed thoroughly. The researcher displays the most relevant research efforts regarding the RPL OFs existing in literature.

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“…As per the simulation results it was seen that appropriate energyefficient solution was achieved for monitoring IoT networks by applying proposed technique.  Santiago S, et.al (2017) proposed a novel implementation and design to improve the energy efficient routing of IoT networks [11]. The performance of network was optimized by integrating the routing metrics.…”

Section: Cache Nodes 4 Channel Management Schemementioning

confidence: 99%

Performance Analysis of Cognitive Radio Based Internet-Of-Things Network for Energy Efficiency and Spectrum Utilization

2019

IJITEE

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Energy and Spectrum are the two basic requirements in the realm of Internet-of-Things (IoT). The network of IoT is becoming larger day by day and the design of spectrum and energy efficient solution is a quite challenging task because of the rapid increase of connecting devices in IoT network. To make the system more energy and spectral efficient, energy harvesting and cognitive radio (CR) are the proficient solutions, respectively. This paper introduces a spectral and energy efficient design for CR based sensor networks. We present a network architecture, in which nodes or other sensing devices can use the spectrum opportunistically and energy harvesting can be done from different ambient sources. We then propose an 1) energy alancing scheme for heterogeneous network in which nodes will have different energy levels and 2) Cluster head (CH) selection scheme which will only be performed on the few nodes of network having the highest current energy to accomplish the ultimate goal of energy balancing in network, this analysis is performed with in the cluster. Furthermore, for the spectral efficiency, we propose a channel management scheme based on cognitive radio to allot the best available channel having highest reliability in respect of the bit error rate (BER) using. Comprehensive results exhibit the effectiveness in the performance of the proposed spectral and energy efficient schemes and show better performance over other schemes.

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A novel fuzzy based energy efficient routing for Internet of Things

Cited by 6 publications

References 6 publications

Trust Based Technique for the Multicasting in IoT

Trust Based Technique for the Multicasting in IoT

A Comprehensive Survey on Node Metrics of RPL Protocol for IoT

Performance Analysis of Cognitive Radio Based Internet-Of-Things Network for Energy Efficiency and Spectrum Utilization

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