A Real Time Implementation of Hierarchical Routing Protocol for IoT based Wireless Sensor Network

Sonthalia, Mayur; Jha, Ashish; Gupta, Utkarsh; Thyagarajan, Jayavignesh

doi:10.1109/wispnet45539.2019.9032753

Cited by 8 publications

(6 citation statements)

References 11 publications

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“…The conventional centralised system is failed when there is a fault in the central CPU unit, while in proposed distributed system network load is divided among the number of subsection. The energy consumption in centralised system is also increased which leads to the decreased in the energy efficiency (2) (5) . In proposed distributed system, energy consumption is decreased due to the load of the network is divided among different subsection which leads to the increase in the energy efficiency of the proposed technique.…”

Section: Resultsmentioning

confidence: 99%

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Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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Objectives: To improve the energy efficiency in IoT-based wireless sensor networks. To increase the sensor node lifetime in any wireless sensor network (WSN) based on the Energy-efficient cluster and routing in WSN. The advancement in the electronic industry has to develop the low powerconsuming and low-cost devices for multiple purposes. Methods: A new algorithm is proposed to improve the energy efficiency in IoT-based WSN for routing algorithms. The low power consuming devices are wisely chosen for the respected application and their power management. This study is intended to provide efficient routing algorithms with less energy consumption in wireless sensor networks. Findings: A wireless sensor network deployed with a number of non-static nodes in a communication network are beneficial for numerous fields such as the military, medical sector, structural health monitoring, transportation industries, etc. In this paper, the performance parameters like average throughput, average end-to-end delay, packet delivery ratio, average node energy, and normalized routing load are analyzed. Novelty: We designed and simulated the Distributed IoT-based wireless network system to analyze the information of nodes roaming in the vicinity of the zone area. In proposed technique energy efficiency is increased compared to the conventional algorithm. In node centric routing protocol, energy efficiency is increased from 55% to 68%. In data centric routing protocol, energy efficiency is increased from 65% to 75%. In source-initiated routing protocol, energy efficiency is increased from 68% to 80%. In destination-initiated routing protocol, energy efficiency is increased from 72% to 85%.

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Section: Resultsmentioning

confidence: 99%

“…The existing IoT-based wireless sensor network is less energy efficient (4) . In particular, when the nodes are moving the proper information is not received (5) . We designed and simulated the Distributed IoT-based wireless network system to analyze the information of nodes roaming in the vicinity of the zone area.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Shilpa¹,

Chetan²,

Anand³

2023

IJST

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“…Following Kleinrock and Kamon [10] several works researched the problem of structuring packet-switched networks into multiple areas, both in the context of wired [11][12][13][14][15][16] and wireless networks [17,18]; the works [14][15][16] specifically address the case of OSPF. The research addressed concerns related to the storage and updating of routing information when networks become large.…”

Section: Introductionmentioning

confidence: 99%

“…This is a critical issue in the case of LSR protocols since routers need to store, and keep updated, a database containing the complete map of the network topology. The key aspects under analysis are the proposal of specific protocols for hierarchical routing [10–13, 15, 17, 18], and the determination of the optimal threshold for splitting a network into areas and of the optimal area size [10, 14, 16]. However, the work in this field has mainly concentrated on hierarchical structures, such as the one currently allowed by OSPF and IS‐IS, which are a constraint over the many possible multiarea topologies.…”

Section: Introductionmentioning

confidence: 99%

Open Shortest Path First extension for the support of multiarea networks with arbitrary topologies

Gomes,

Fonseca,

Valadas

2024

IET Networks

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Open Shortest Path First (OSPF) currently supports multiarea networking with two severe limitations: the multiarea topology is restricted to a two‐level hierarchy, and globally optimal routing may not be achieved. An OSPF extension that overcomes these limitations is proposed by introducing a routing overlay for the dissemination of multiarea routing information. It applies to both OSPFv2 (IPv4) and OSPFv3 (IPv6) and is transparent to area‐internal routers. The extension was fully implemented and tested, and the results show that the added functionality is completely achieved, at the cost of a small penalty in terms of convergence times for small networks.

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“…WSNs should refer to a group or network that is in a state of sensing [1,2]. Various equipments which installed in the network are referred as the sensor nodes (SNs) [3,4].…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Load Balancing and Routing Using Multi-Objective Based Algorithm in WSN

Vijayvergia¹,

Modani²

2023

Intelligent Automation &Amp; Soft Computing

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In wireless sensor network (WSN), the gateways which are placed far away from the base station (BS) forward the collected data to the BS through the gateways which are nearer to the BS. This leads to more energy consumption because the gateways nearer to the BS manages heavy traffic load. So, to overcome this issue, loads around the gateways are to be balanced by presenting energy efficient clustering approach. Besides, to enhance the lifetime of the network, optimal routing path is to be established between the source node and BS. For energy efficient load balancing and routing, multi objective based beetle swarm optimization (BSO) algorithm is presented in this paper. Using this algorithm, optimal clustering and routing are performed depend on the objective functions routing fitness and clustering fitness. This approach leads to decrease the power consumption. Simulation results show that the performance of the proposed BSO based clustering and routing scheme attains better results than that of the existing algorithms in terms of energy consumption, delivery ratio, throughput and network lifetime. Namely, the proposed scheme increases throughput to 72% and network lifetime to 37% as well as it reduces delay to 37% than the existing optimization algorithms based clustering and routing schemes.

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A Real Time Implementation of Hierarchical Routing Protocol for IoT based Wireless Sensor Network

Cited by 8 publications

References 11 publications

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Performance Analysis by Improving Energy Efficiency in IoT Based Wireless Sensor Network for Routing Algorithm

Open Shortest Path First extension for the support of multiarea networks with arbitrary topologies

Energy Efficient Load Balancing and Routing Using Multi-Objective Based Algorithm in WSN

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