Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks

By exchanging information directly between non-adjacent protocol layers, cross-layer (CL) interaction can significantly improve and optimize network performances such as energy efficiency and delay. This is particularly important for wireless sensor networks (WSNs) where sensor devices are energy-co...

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Main Authors: Yang Liu, Boon-Chong Seet, Adnan Al-Anbuky
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/10/19057
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author Yang Liu
Boon-Chong Seet
Adnan Al-Anbuky
author_facet Yang Liu
Boon-Chong Seet
Adnan Al-Anbuky
author_sort Yang Liu
collection DOAJ
description By exchanging information directly between non-adjacent protocol layers, cross-layer (CL) interaction can significantly improve and optimize network performances such as energy efficiency and delay. This is particularly important for wireless sensor networks (WSNs) where sensor devices are energy-constrained and deployed for real-time monitoring applications. Existing CL schemes mainly exploit information exchange between physical, medium access control (MAC), and routing layers, with only a handful involving application layer. For the first time, we proposed a framework for CL optimization based on user context of ambient intelligence (AmI) application and an ontology-based context modeling and reasoning mechanism. We applied the proposed framework to jointly optimize MAC and network (NET) layer protocols for WSNs. Extensive evaluations show that the resulting optimization through context awareness and CL interaction for both MAC and NET layer protocols can yield substantial improvements in terms of throughput, packet delivery, delay, and energy performances.
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spelling doaj.art-7557205500fa4550a83cb74f607127402022-12-22T03:19:15ZengMDPI AGSensors1424-82202014-10-011410190571908510.3390/s141019057s141019057Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor NetworksYang Liu0Boon-Chong Seet1Adnan Al-Anbuky2Department of Electrical & Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandDepartment of Electrical & Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandDepartment of Electrical & Electronic Engineering, Auckland University of Technology, Auckland 1010, New ZealandBy exchanging information directly between non-adjacent protocol layers, cross-layer (CL) interaction can significantly improve and optimize network performances such as energy efficiency and delay. This is particularly important for wireless sensor networks (WSNs) where sensor devices are energy-constrained and deployed for real-time monitoring applications. Existing CL schemes mainly exploit information exchange between physical, medium access control (MAC), and routing layers, with only a handful involving application layer. For the first time, we proposed a framework for CL optimization based on user context of ambient intelligence (AmI) application and an ontology-based context modeling and reasoning mechanism. We applied the proposed framework to jointly optimize MAC and network (NET) layer protocols for WSNs. Extensive evaluations show that the resulting optimization through context awareness and CL interaction for both MAC and NET layer protocols can yield substantial improvements in terms of throughput, packet delivery, delay, and energy performances.http://www.mdpi.com/1424-8220/14/10/19057wireless sensor networkscross-layer optimizationcontextambient intelligence
spellingShingle Yang Liu
Boon-Chong Seet
Adnan Al-Anbuky
Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks
Sensors
wireless sensor networks
cross-layer optimization
context
ambient intelligence
title Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks
title_full Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks
title_fullStr Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks
title_full_unstemmed Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks
title_short Ambient Intelligence Context-Based Cross-Layer Design in Wireless Sensor Networks
title_sort ambient intelligence context based cross layer design in wireless sensor networks
topic wireless sensor networks
cross-layer optimization
context
ambient intelligence
url http://www.mdpi.com/1424-8220/14/10/19057
work_keys_str_mv AT yangliu ambientintelligencecontextbasedcrosslayerdesigninwirelesssensornetworks
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AT adnanalanbuky ambientintelligencecontextbasedcrosslayerdesigninwirelesssensornetworks