arrow
Return

An Efficient Grid-Based Geocasting Scheme for Wireless Sensor Networks

delete2023-03-03
delete1
delete
OA
AI
N
Neng-Chung Wang *
M
Ming‐Fong Tsai
C
Chao‐Yang Lee
Y
Young-Long Chen
S
Shih-Hsun Wong
DOI:10.3390/s23052783delete
deleteOriginal
deleteShare
deleteSave
View PDF
Abstract

Abstract

En 中文
In a wireless sensor network (WSN), geocasting is a location-based routing protocol used for data collection or information delivery. In geocasting, a target region usually contains many sensor nodes with limited battery capacity, and sensor nodes in multiple target regions need to transmit data to the sink. Therefore, how to use location information to construct an energy efficient geocasting path is a very important issue. FERMA is a geocasting scheme for WSNs based on Fermat points. In this paper, an efficient grid-based geocasting scheme for WSNs, which is called GB-FERMA, is proposed. The scheme uses the Fermat point theorem to search for the specific nodes as Fermat points in a grid-based WSN, and it selects the optimal relay nodes (gateways) in the grid structure to realize energy-aware forwarding. In the simulations, when the initial power 0.25 J, the average energy consumption of GB-FERMA is about 53% of FERMA-QL, 37% of FERMA, and 23% of GEAR; however, when with the initial power 0.5 J, the average energy consumption of GB-FERMA is about 77% of FERMA-QL, 65% of FERMA, and 43% of GEAR. The proposed GB-FERMA can effectively reduce the energy consumption and thus prolong the lifetime of the WSN.
Keywords:
Fermat point
geocasting
grid-based
Internet of Things
wireless sensor network
AI Summary

AI Summary

Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Sensors cover
Sensors
IF:
3.5
Papers:
7.1W
Citations:
20.9W

Organization

N
National United University
Scholars:
1.2K
Papers: 1.3K
Citations: 1.4K
N
national yunlin university science & technology
Scholars:
3.2K
Papers: 3.3K
Citations: 1