A comprehensive and systematic review of the load balancing mechanisms in the Internet of Things

Pourghebleh, Behrouz; Hayyolalam, Vahideh

doi:10.1007/s10586-019-02950-0

Cited by 79 publications

(34 citation statements)

References 105 publications

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“…I N recent years, we have seen the immersion and impact of the Internet of Things (IoT) paradigm in different areas of knowledge. IoT allows the connection of multiple devices of different characteristics under the same network with a common goal [1]. These devices can range from a sensor that detects movement to report intruders in a company's facilities to a household appliance with integrated circuits and connections that can be configured or programmed remotely.…”

Section: Introductionmentioning

confidence: 99%

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WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

et al. 2021

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The wireless sensor networks (WSN) are immersed in multiple areas of knowledge and are the alternative that allows analyzing, solving, and preventing problems under different facets. The RPL protocol (IPv6 Routing Protocol for Low power a Lossy Networks) arises for the management of this type of network restricted by their physical capabilities through different rules and operations that simplify the communications and constructions of the WSN. Although RPL is an efficient and standardized protocol, it does not consider high traffic handling and presents severe problems regarding load balancing, which leads to service disruption. In this article, WRF-RPL is proposed as a protocol for considering load balancing over RPL to distribute communications and messages into a network topology to avoid one preferred parent's congestions. The proposed protocol aims to improve the network's lifetime and the packet delivery through source nodes to the sink in an energy-efficient manner. Different simulated scenarios were conducted over the Cooja simulator. The results show that WRF-RPL protocols outperform the standard RPL protocol over Network Lifetime, PDR, control message overhead, and energy consumption compared with other existing protocols.

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Section: Introductionmentioning

confidence: 99%

“…Multiple types of research have emerged to propose a load balancing scheme for RPL, according to the quality of service (QoS) standards [1] and the physical limitations of WSNs. Data-demanding scenarios are a possibility when operating this kind of WSN network.…”

Section: Introductionmentioning

confidence: 99%

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

et al. 2021

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“…Detailed comparsion along with key highlights is shown in Table 3. Considering the database of last 2 years research paper published and idea considered from [28] above Figure 2 clearly shows that cooja is most popular simulation tool used along with Contiki operating system and covers almost 60-65% of research work done in field of IoT while tossim along with powertossim covers around 15% with the help of TinyOS.Netsim is commercial simulation tool mostly used by educational institution.Other network simulators like avrora, j-sim and Omnet++ even used for wireless sensor networks which is part of IoT roughly covers 15-20% usage. Figure 3 shows usage of network monitoring tools in terms of research paper published and market share covered and clearly it shows that wireshark is leader in this category and covers roughly around 60-70%.TCPDump covers roughly 15-20% market share followed by Foren6 which is best analysis tool for RPL protocol.All network diagnostics tools require PCAP file generated individually for input purpose to analyze quality of service parameters.…”

Section: Tcpdumpmentioning

confidence: 99%

Simulation, modelling and packet sniffing facilities for IoT: A systematic analysis

Patel¹,

Shah²

2020

IJECE

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Man and Machine in terms of heterogeneous devices and sensors collaborate giving birth to the Internet of Things, Internet of future. Within a short span of time 30billions intelligent devices in form of smart applications will get connected making it difficult to test and debug in terms of time and cost.Simulators play vital role in verifying application and providing security before actually deploying it in real environment.Due to constraint environment in terms of memory, computation, and energy this review paper under a single umbrella will throw insight on comprehensive and in-depth analysis keeping in mind various barriers, critical design characteristics along with the comparison of candidate simulator and packet sniffing tool. Post simulated analysis play vital role in deciding behavior of data and helping research community to satisfy quality of service parameters.This review makes it feasible to make an appropriate choice for simulators and network analyzer tool easy fulfilling needs and making IoT a reality

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“…The development of powerful LB systems and applications is indeed a key element of cloud-based systems. For this reason, many algorithms have been developed in the field of LB with task scheduling processes in cloud services (4)(5)(6)(7)(8) .…”

Section: Introductionmentioning

confidence: 99%

Resource utilization prediction with multipath traffic routing for congestion-aware VM migration in cloud computing

Gowriprakash¹,

Shankar²,

Duraisamy³

2021

IJST

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Background: The Load Balancing (LB) schemes in cloud computing consider both current and future utilization of resources to decide the most suitable Virtual Machines (VMs) to be migrated to the most appropriate Physical Machines (PMs). But, the possibility of network congestion occurrence was high when increasing the bandwidth use between VMs within the cloud data centers. Also, a less-than-optimal migration of VMs can lead to high network traffic since it causes inter-VM traffic for traversing the bottleneck network routes. Objective: To enhance the efficiency of LB and reduce the possibility of congestion occurrence during VM migration in cloud data centers. Methods: Osmotic Hybrid artificial Bee and Ant Colony with Future Utilization Prediction with Multipath Traffic Routing (OH-BAC-FUP-MTR) mechanism are presented in this article to achieve the above objective. Initially, the OH-BAC-FUP mechanism is performed to decide the most suitable VMs to be migrated to the most suitable PMs. During VM migration, if any congestion exists due to high bandwidth use or traffic flows, then the MTR algorithm is applied to partition the flows and route them through multiple link-disjoint routes. Based on this, the congestion is avoided while ensuring the bandwidth and security grade demands. Also, the highest traffic on the path is applied as a congestion factor. Moreover, the current and future network states are taken into account for MTR to select the most optimal route from multiple routes with no consideration of the past use of the paths. Findings: The simulation outcomes demonstrate the OH-BAC-FUP-MTR mechanism consumes 8.74% of overall energy, 6.8% of Service Level Agreement violation Time per Active Host (SLATAH), 27.63% of Performance Degradation due to Migration (PDM), 22.98% of SLA Violation (SLAV), 27.27% of VM migrations and 30.77% of hosts shutdown compared to the OH-BAC-FUP using Linear Regression (LR) and Optimal Piecewise LR (OPLR).

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A comprehensive and systematic review of the load balancing mechanisms in the Internet of Things

Cited by 79 publications

References 105 publications

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

WRF-RPL: Weighted Random Forward RPL for High Traffic and Energy Demanding Scenarios

Simulation, modelling and packet sniffing facilities for IoT: A systematic analysis

Resource utilization prediction with multipath traffic routing for congestion-aware VM migration in cloud computing

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