A Comparative Analysis of Flat, Hierarchical and Location-Based Routing in Wireless Sensor Networks

Aetesam, Hazique; Snigdh, Itu

doi:10.1007/s11277-017-4775-1

Cited by 9 publications

(7 citation statements)

References 12 publications

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“…The experimental environment is Matlab simulation platform, which is used for algorithm development, data visualization, data analysis, and numerical calculation of advanced technical computing language and interactive environment, which is very applicable to the experiment in this article. Literature by Aetesam and Snigdh, 5 Li, 6 and Lin et al 7 were used as the experimental control group in the experiment, and the application effect of the proposed method was compared and tested. The time delay and energy consumption test indexes are selected to evaluate the performance of different methods.…”

Section: Experiments and Discussionmentioning

confidence: 99%

“…When 1 ł i \ j, the energy E ij can be calculated using equation (5), and the communication distance r ij of node i and node j in the wireless sensor network is calculated as follows…”

Section: Network Model Constructionmentioning

confidence: 99%

“…3,4 Its terminal network is the wireless sensor network, which provides the way to perceive the world of the Internet of things in a large space–time scale. 5 Nodes have energy-limited phenomena in the network, and the main way to consume energy is data transmission. The main reason that affects the transmission delay of wireless sensor networks is data transmission scheduling.…”

Section: Introductionmentioning

confidence: 99%

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High-density data transmission and scheduling method in wireless sensor networks based on Wi-Fi

Zhang

Qiu

et al. 2020

International Journal of Distributed Sensor Networks

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In wireless sensor network, the storage amount of information is high, and the transmission and scheduling of control information is reasonable. The node communication model, network structure model, and energy consumption model are constructed. On this basis, the high-density data in wireless sensor network are scheduled to optimize the time for nodes to perform tasks. The nodes in the network are fully scheduled to control the generation time of packets in the network and the generation time of packets in the network. Experimental results show that in different iterations, the proposed method has lower node delay and node energy consumption, with values less than 0.2 and 2, respectively, and the maximum data fusion quality can reach 98, with high fusion benefits, so as to improve the transmission and scheduling efficiency and quality of high-density data in wireless sensor network.

show abstract

Section: Experiments and Discussionmentioning

confidence: 99%

“…When 1 ł i \ j, the energy E ij can be calculated using equation (5), and the communication distance r ij of node i and node j in the wireless sensor network is calculated as follows…”

Section: Network Model Constructionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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High-density data transmission and scheduling method in wireless sensor networks based on Wi-Fi

Zhang

Qiu

et al. 2020

International Journal of Distributed Sensor Networks

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“…A detailed review and classification of ad hoc routing protocols can be found in [17,18]. Some other recent MANET routing protocols can be found in [19][20][21][22][23][24][25][26][27][28].…”

Section: Related Workmentioning

confidence: 99%

Performance Analysis of Location‐Aware Grid‐Based Hierarchical Routing Protocol for Mobile Ad Hoc Networks

Khan

Song

Ahn

2018

Wireless Communications and Mobile Computing

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In this paper, the performance analysis of a hierarchical routing protocol for mobile ad hoc networks (MANETs) called Location-aware Grid-based Hierarchical Routing (LGHR) is performed. In LGHR, the network comprises nonoverlapping zones and each zone is further partitioned into smaller grids. Although LGHR is a location-aware routing protocol, the routing mechanism is similar to the link-state routing. The protocol overcomes some of the weaknesses of other existing location-based routing protocols such as Zone-based Hierarchical Link State (ZHLS) and GRID. A detailed analysis of the LGHR routing protocol is performed and its performance is compared with both the above-mentioned protocols. The comparison shows that LGHR works better than ZHLS in terms of storage overhead as well as communication overhead, whereas LGHR is more stable than GRID especially in scenarios where wireless nodes are moving with very high velocities.

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“…In general, node energy is consumed by three operational activities: sensing, processing and communications, with communications being typically the largest energy‐consuming activity [1]. Therefore, many strategies aiming to minimise node energy consumption address communications issues, such as clustering [2], routing protocols [3] and data sizes [4].…”

Section: Introductionmentioning

confidence: 99%

Lightweight energy‐efficient framework for sensor real‐time communications

2019

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A Comparative Analysis of Flat, Hierarchical and Location-Based Routing in Wireless Sensor Networks

Cited by 9 publications

References 12 publications

High-density data transmission and scheduling method in wireless sensor networks based on Wi-Fi

High-density data transmission and scheduling method in wireless sensor networks based on Wi-Fi

Performance Analysis of Location‐Aware Grid‐Based Hierarchical Routing Protocol for Mobile Ad Hoc Networks

Lightweight energy‐efficient framework for sensor real‐time communications

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