EOMR: An Energy-Efficient Optimal Multi-path Routing Protocol to Improve QoS in Wireless Sensor Network for IoT Applications

Jaiswal, Kavita; Anand, Veena

doi:10.1007/s11277-019-07000-x

Cited by 91 publications

(49 citation statements)

References 34 publications

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“…The model minimizes message replication, reduces communication overhead, and achieves better packet delivery performance. Other studies 35–37 showed how network congestion affects service quality of IoT applications. Here they presented a routing mechanism, namely, routing scheme for Internet of Things using shuffled frog leaping optimization algorithm (RISA).…”

Section: Related Workmentioning

confidence: 99%

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

Nayagi

Sivasankari

Ravi

et al. 2021

Int J Communication

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Summary Machine‐type communication (MTC) such as device‐to‐device and machine‐to‐machine communication is a technology used to realize the concept of Internet of things (IoT). The fifth generation (5G) IoT is composed of large density of wireless sensor device. The massive roll out of the MTC devices is a serious challenge for wireless communication networks from operational and management perspective, including massive access, route selection, energy efficiency and network congestion. Many proposals have been put forward by the research community to cater to the issues and difficulties of massive MTC (mMTC) access in large density sensor network‐enabled IoT communication environment. Recently, data aggregation with efficient route selection has attracted a lot of research attention owing to its robust ability to resolve the above‐mentioned challenges. Existing data routing and aggregation methodologies are not efficient when adopted to heterogeneous IoT applications as they fail to bring trade‐off between energy efficiency and latency minimization. This research work proposes reliable and energy‐efficient route selection (REERS) scheme to reduce energy dissipation and latency for catering both real‐time and non‐real‐time applications. Experiment outcomes shows the REERS schemes achieves much superior performance than existing routing and aggregation methodologies over latency reduction and energy efficiency.

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Section: Related Workmentioning

confidence: 99%

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

Nayagi

Sivasankari

Ravi

et al. 2021

Int J Communication

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“…In this work [ 26 , 27 ], hybrid system is made up using both 6LoWPAN and MQTT protocols, where 6LoWPAN is used for framing and for internal communication MQTT is used. In this work [ 28 ], a new protocol was proposed and its performance was checked on the NS-2 simulator and results show that it is good in energy-saving and network lifetime parameters.…”

Section: Literature Surveymentioning

confidence: 99%

A Review on existing IoT Architecture and Communication Protocols used in Healthcare Monitoring System

Verma

Singh

Prasad

2021

J. Inst. Eng. India Ser. B

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“…Additional energy will be consumed when the source nodes regenerate the dropped packet. Also, due to the accumulation factor, the nodes closer to the destination node will have to handle more packets and consume more resources than the nodes that are further from the destination node [16]. This event is known as an unfair state of the network [17].…”

Section: Problem Statementsmentioning

confidence: 99%

Designated path routing algorithm for dense wireless sensor network

Subramaniam

Azman

Lee

et al. 2021

IJEECS

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Due to extensive pipeline dissemination in the oil and gas refinery, the nodes need to be placed in a grid formation. As such, since most oil and gas industry applications require continuous data gathering, a heavy data stream will be introduced in the network traffic, mainly when the network density is high. As a result, performance degradation and poor energy consumption will occur. Ad hoc on-demand distance vector and optimized link state routing protocol have been simulated to investigate these issues further. Due to packet congestion, the network experiences a domino effect on the performance, such as packet loss, throughput degradation, and poor energy consumption. Thus, a tailored solution is required since oil and gas industry relies heavily on sensor data to keep track of pipelines condition to prevent anomalous events from happening. The proposed algorithm has been developed to optimize the network performance by dividing the traffic into two and by reducing the flooding during route discovery. The results have shown better network performance and energy consumption can be achieved using the proposed algorithm when compared to the others.

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EOMR: An Energy-Efficient Optimal Multi-path Routing Protocol to Improve QoS in Wireless Sensor Network for IoT Applications

Cited by 91 publications

References 34 publications

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

REERS: Reliable and energy‐efficient route selection algorithm for heterogeneous Internet of things applications

A Review on existing IoT Architecture and Communication Protocols used in Healthcare Monitoring System

Designated path routing algorithm for dense wireless sensor network

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