A Literature Review on Routing Strategy in the Internet of Things

Poluru, Ravi Kumar; Naseera, Shaik

doi:10.25103/jestr.105.06

Cited by 24 publications

(12 citation statements)

References 43 publications

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“…Sajjanhar [15] proposed modified LEACH routing protocol with two additional parameters such as residual energy and spatio temporal variations to achieve energy efficiency during data transmissions in IoT network bit they increases lifetime only 50% in perspective of LEACH routing protocol.…”

Section: Background Analysis Of Iotmentioning

confidence: 99%

“…(1) When the nodes communicate within the cluster and the CH aggregate the data from the other nodes is called intra cluster. (2) The second is Inter cluster in which different clusters communi-cate with other clusters. HEED uses residual energy for the selection of CH.…”

Section: Heed (Hybrid Energy-efficient Distributed Clustering)mentioning

confidence: 99%

“…[16]  Pros: (1) HEED uses Inter cluster coordination which improves the network scalability. (2) Cluster head selection technique used in HEED improves the lifetime of network.  Cons: (1) Energy consumption is more in HEED because more then one CHs present within single cluster at the different locations.…”

Section: Heed (Hybrid Energy-efficient Distributed Clustering)mentioning

confidence: 99%

“… Cons: (1) Energy consumption is more in HEED because more then one CHs present within single cluster at the different locations. (2) End to End delay will be more because all the nodes communicate through more than one node. D. TEEN (Threshold Sensitive Energy Efficient Sensor Network Protocol):…”

Section: Heed (Hybrid Energy-efficient Distributed Clustering)mentioning

confidence: 99%

“…Hierarchical routing used the protocols like LEACH, HEED, TEEN, SEP etc. [2] II. ARCHITECTURE OF IOT  Perception Layer: This layer is the lowest layer of IoT architecture.…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficient Hierarchical Routing Protocols for IoT

2019

ijeat

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IoT (Internet of Thing) is a wireless network in which smart objects communicate and interact with each other through internet, it also remotely control and monitor the objects within network. In IoT, data is sensed, gathered, processed and stored from real world environment. In this procedure a large amount of energy is consumed. Energy efficiency is the main concern for IoT. In this paper introduction to IoT its layered architecture, applications and various cluster based routing protocols has been introduced. The cluster based routing protocols used different schemes to make the nodes energy efficient. The major focus of this paper is on the LEACH, SEP, HEED and TEEN protocols

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Section: Background Analysis Of Iotmentioning

confidence: 99%

Section: Heed (Hybrid Energy-efficient Distributed Clustering)mentioning

confidence: 99%

Section: Heed (Hybrid Energy-efficient Distributed Clustering)mentioning

confidence: 99%

Section: Heed (Hybrid Energy-efficient Distributed Clustering)mentioning

confidence: 99%

“…Hierarchical routing used the protocols like LEACH, HEED, TEEN, SEP etc. [2] II. ARCHITECTURE OF IOT  Perception Layer: This layer is the lowest layer of IoT architecture.…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficient Hierarchical Routing Protocols for IoT

2019

ijeat

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Hybrid optimization‐based topology construction and DRNN‐based prediction method for data reduction in IoT

Pawar,

Jadhav

2024

Int J Communication

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SummaryThe Internet of Things (IoT) acts as a prevalent networking setup that plays a vital role in everyday activities due to the increased services provided through uniform data collection. In this research paper, a hybrid optimization approach for the construction of heterogeneous multi‐hop IoT wireless sensor network (WSN) network topology and data aggregation and reduction is performed using a deep learning model. Initially, the IoT network is stimulated and the network topology is constructed using Namib Beetle Spotted Hyena Optimization (NBSHO) by considering different network parameters and encoding solutions. Moreover, the data aggregation and reduction in the IoT network are performed using a Deep Recurrent Neural Network (DRNN)‐based prediction model. In addition, the performance improvement of the designed NBSHO + DRNN approach is validated. Here, the designed NBSHO + DRNN method achieved a packet delivery ratio (PDR) of 0.469, energy of 0.367 J, prediction error of 0.237, and delay of 0.595 s.

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Collaborative energy efficient zone‐based routing protocol for multihop Internet of Things

Iqbal

Qureshi

Kanwal

et al. 2020

Trans Emerging Tel Tech

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In Internet of Things (IoT) the nodes collaborate over a network in multihop manner and relay data toward IoT gateway that is ultimately connected to an IP network. The conventional multihop routing protocols assume that all nodes behave truthfully when they receive packets for downstream network but in reality, the IoT relaying nodes avoid message forwarding. The main reason of selfish behavior of nodes is the limited battery power. Many such nodes have limited battery constraint so these nodes may become selfish to save their energy.These nodes need to be encouraged to cooperate in order to increase network life time instead of just trying to increase node's own benefits. This paper discusses energy aware zone-based routing technique that employs game theory to enhance nodes' cooperation and energy efficiency. The nodes follow a path with highest average energy for communication and provide collective support, hence the network life time is increases. For comparative analysis, simulation is performed for the proposed technique along with the existing techniques. The results show betterment in throughput, packet delivery ratio, and network life time.

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A Literature Review on Routing Strategy in the Internet of Things

Cited by 24 publications

References 43 publications

Energy Efficient Hierarchical Routing Protocols for IoT

Energy Efficient Hierarchical Routing Protocols for IoT

Hybrid optimization‐based topology construction and DRNN‐based prediction method for data reduction in IoT

Collaborative energy efficient zone‐based routing protocol for multihop Internet of Things

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