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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Format: | Article |
Language: | English |
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MDPI AG
2014-10-01
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Series: | Sensors |
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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. |
first_indexed | 2024-04-12T19:34:18Z |
format | Article |
id | doaj.art-7557205500fa4550a83cb74f60712740 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-12T19:34:18Z |
publishDate | 2014-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
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 AT boonchongseet ambientintelligencecontextbasedcrosslayerdesigninwirelesssensornetworks AT adnanalanbuky ambientintelligencecontextbasedcrosslayerdesigninwirelesssensornetworks |