Identifying the direction of wind in wireless sensor networks

Mohammed Alasli; Tarek Sheltami; Elhadi Shakshuki

doi:10.1016/j.procs.2012.06.031

Identifying the direction of wind in wireless sensor networks

Mohammed Alasli^*, Tarek Sheltami, Elhadi Shakshuki

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

Abstract

This paper describes a novel method for determining the direction of a phenomenon such as wind in wireless sensor networks (WSNs). The method is based on a structured grid topology and mainly depends on analyzing the timestamp of each node in the grid at the base station. The topology and the routing protocol are evaluated by simulation using OmNet++ and MiXiM 2.1 framework. Throughput, latency and average power consumption are measured and compared in order to investigate the efficiency of our method.

Original language	English
Pages (from-to)	225-231
Number of pages	7
Journal	Procedia Computer Science
Volume	10
DOIs	https://doi.org/10.1016/j.procs.2012.06.031
State	Published - 2012

Bibliographical note

Funding Information:
The authors would like to thank King Fahd University of Petroleum and Mineral for the support of this research.

Keywords

Direction
Networks
Phenomenon
Sensor
WSN
Wireless

ASJC Scopus subject areas

General Computer Science

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10.1016/j.procs.2012.06.031

Cite this

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title = "Identifying the direction of wind in wireless sensor networks",

abstract = "This paper describes a novel method for determining the direction of a phenomenon such as wind in wireless sensor networks (WSNs). The method is based on a structured grid topology and mainly depends on analyzing the timestamp of each node in the grid at the base station. The topology and the routing protocol are evaluated by simulation using OmNet++ and MiXiM 2.1 framework. Throughput, latency and average power consumption are measured and compared in order to investigate the efficiency of our method.",

keywords = "Direction, Networks, Phenomenon, Sensor, WSN, Wireless",

author = "Mohammed Alasli and Tarek Sheltami and Elhadi Shakshuki",

note = "Funding Information: The authors would like to thank King Fahd University of Petroleum and Mineral for the support of this research.",

year = "2012",

doi = "10.1016/j.procs.2012.06.031",

language = "English",

volume = "10",

pages = "225--231",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

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TY - JOUR

T1 - Identifying the direction of wind in wireless sensor networks

AU - Alasli, Mohammed

AU - Sheltami, Tarek

AU - Shakshuki, Elhadi

N1 - Funding Information: The authors would like to thank King Fahd University of Petroleum and Mineral for the support of this research.

PY - 2012

Y1 - 2012

N2 - This paper describes a novel method for determining the direction of a phenomenon such as wind in wireless sensor networks (WSNs). The method is based on a structured grid topology and mainly depends on analyzing the timestamp of each node in the grid at the base station. The topology and the routing protocol are evaluated by simulation using OmNet++ and MiXiM 2.1 framework. Throughput, latency and average power consumption are measured and compared in order to investigate the efficiency of our method.

AB - This paper describes a novel method for determining the direction of a phenomenon such as wind in wireless sensor networks (WSNs). The method is based on a structured grid topology and mainly depends on analyzing the timestamp of each node in the grid at the base station. The topology and the routing protocol are evaluated by simulation using OmNet++ and MiXiM 2.1 framework. Throughput, latency and average power consumption are measured and compared in order to investigate the efficiency of our method.

KW - Direction

KW - Networks

KW - Phenomenon

KW - Sensor

KW - WSN

KW - Wireless

UR - https://www.scopus.com/pages/publications/84896927706

U2 - 10.1016/j.procs.2012.06.031

DO - 10.1016/j.procs.2012.06.031

M3 - Conference article

AN - SCOPUS:84896927706

SN - 1877-0509

VL - 10

SP - 225

EP - 231

JO - Procedia Computer Science

JF - Procedia Computer Science

ER -

Identifying the direction of wind in wireless sensor networks

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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