"High-Level Abstractions in Wireless Sensor Networks: Status, Taxonomy, Challenges, and Future Directions"

Wireless sensor networks (WSNs) have gained a lot of considerations in recent years and have significant impacts on different application areas.Wireless sensors have been successfully deployed in different computing environments to measure, gather and process the raw information in the sensing area to the observers.Sensor networks provide infinite opportunities, but at the same time pose rough challenges due to the sensors' characteristics and the operating conditions of these sensors.This paper provides an extensive study of the current state-of-art in programming wireless sensor network, presenting a classification of programming levels in the field and highlighting some likely programming challenges and research future directions.

Authors

Institutions

Publication Details

Published
2025-04-02
DOI
https://doi.org/10.18260/1-2-1153-53883
Primary Topic
Energy Efficient Wireless Sensor Networks
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

"High-Level Abstractions in Wireless Sensor Networks: Status, Taxonomy, Challenges, and Future Directions"

Abrar M. Alajlan
Energy Efficient Wireless Sensor Networks
article

"High-Level Abstractions in Wireless Sensor Networks: Status, Taxonomy, Challenges, and Future Directions"

Abrar M. Alajlan
article en

Abstract

Wireless sensor networks (WSNs) have gained a lot of considerations in recent years and have significant impacts on different application areas.Wireless sensors have been successfully deployed in different computing environments to measure, gather and process the raw information in the sensing area to the observers.Sensor networks provide infinite opportunities, but at the same time pose rough challenges due to the sensors' characteristics and the operating conditions of these sensors.This paper provides an extensive study of the current state-of-art in programming wireless sensor network, presenting a classification of programming levels in the field and highlighting some likely programming challenges and research future directions.

University of Bridgeport (US)
Openalex Percentile: Top 94%
Energy Efficient Wireless Sensor Networks
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.