Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks
Wireless sensor networks are evolving with increasingly device heterogeneity, while the problem of effectively composing the platform-specific functionalities provided by heterogeneous sensor nodes to achieve specific goals still remains a challenge. Because of the constrained resources and unreliab...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-03-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/217102 |
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| _version_ | 1850226221099515904 |
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| author | Tao Wang Lianglun Cheng Ke Zhang Jun Liu |
| author_facet | Tao Wang Lianglun Cheng Ke Zhang Jun Liu |
| author_sort | Tao Wang |
| collection | DOAJ |
| description | Wireless sensor networks are evolving with increasingly device heterogeneity, while the problem of effectively composing the platform-specific functionalities provided by heterogeneous sensor nodes to achieve specific goals still remains a challenge. Because of the constrained resources and unreliable communication in sensor networks, traditional service composition techniques in web services with adequate resources are insufficient. In this paper, focusing on the limited energy of sensor nodes, we propose an energy-aware service composition framework for developing various applications in heterogeneous wireless sensor networks. With both the energy-aware metrics: energy-aware load-balancing factor and overall energy consumption, we formulate the process of energy-aware sensor service composition into a combinatorial optimization problem; furthermore, an improved discrete particle swarm optimization (IDPSO) algorithm with inertia weights adjustment and extreme perturbation scheme is proposed to solve the combinatorial optimization problem. The experiment results have shown that the performance of the service route given by IDPSO is approximately equal to the best service route searched out by the exhaustive algorithm. Meanwhile, our proposed energy-aware service composition method is able to reduce the energy consumption and prolong the lifetime of the sensor network when providing stable service composition for various applications. |
| format | Article |
| id | doaj-art-5e9fec7cd8b94cd39784ff6cba1fd2c1 |
| institution | OA Journals |
| issn | 1550-1477 |
| language | English |
| publishDate | 2014-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-5e9fec7cd8b94cd39784ff6cba1fd2c12025-08-20T02:05:08ZengWileyInternational Journal of Distributed Sensor Networks1550-14772014-03-011010.1155/2014/217102217102Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor NetworksTao Wang0Lianglun Cheng1Ke Zhang2Jun Liu3 School of Automation, Guangdong University of Technology, Guangzhou 510006, China School of Computer, Guangdong University of Technology, Guangzhou 510006, China School of Automation, Guangdong University of Technology, Guangzhou 510006, China School of Automation, Guangdong University of Technology, Guangzhou 510006, ChinaWireless sensor networks are evolving with increasingly device heterogeneity, while the problem of effectively composing the platform-specific functionalities provided by heterogeneous sensor nodes to achieve specific goals still remains a challenge. Because of the constrained resources and unreliable communication in sensor networks, traditional service composition techniques in web services with adequate resources are insufficient. In this paper, focusing on the limited energy of sensor nodes, we propose an energy-aware service composition framework for developing various applications in heterogeneous wireless sensor networks. With both the energy-aware metrics: energy-aware load-balancing factor and overall energy consumption, we formulate the process of energy-aware sensor service composition into a combinatorial optimization problem; furthermore, an improved discrete particle swarm optimization (IDPSO) algorithm with inertia weights adjustment and extreme perturbation scheme is proposed to solve the combinatorial optimization problem. The experiment results have shown that the performance of the service route given by IDPSO is approximately equal to the best service route searched out by the exhaustive algorithm. Meanwhile, our proposed energy-aware service composition method is able to reduce the energy consumption and prolong the lifetime of the sensor network when providing stable service composition for various applications.https://doi.org/10.1155/2014/217102 |
| spellingShingle | Tao Wang Lianglun Cheng Ke Zhang Jun Liu Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks International Journal of Distributed Sensor Networks |
| title | Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks |
| title_full | Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks |
| title_fullStr | Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks |
| title_full_unstemmed | Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks |
| title_short | Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks |
| title_sort | energy aware service composition algorithms for service oriented heterogeneous wireless sensor networks |
| url | https://doi.org/10.1155/2014/217102 |
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