Journal article
Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems
International Journal of Swarm Intelligence Research, Vol.7(4), pp.52-70
2016
Abstract
The emergence of new technologies such as Internet/Web/Network-of-Things and large scale wireless sensor systems requires the collection of data from an increasing volume of networked-based sensors for analysis. This increases the challenge of routing in network-based sensor systems. This paper presents a study to utilize social insect-based communities for routing in wireless sensor networks. The authors will use for discussion two types of insects: ants and termites. Social insect communities are formed from simple, autonomous and cooperative organisms that are interdependent for their survival. These communities are able to effectively coordinate themselves to achieve global objectives despite a lack of centralized planning. The performances of these insect-based algorithms were tested on common routing scenarios. The results were compared with other routing algorithms with varying network density and showed that insect-based routing techniques improved on network energy consumption with a control over best-effort service.
Details
- Title
- Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems
- Authors
- Li-Minn Ang (Author) - Charles Sturt UniversityKah Phooi Seng (Author) - Charles Sturt UniversityAdamu Murtala Zungeru (Author) - Botswana International University of Science and Technology
- Publication details
- International Journal of Swarm Intelligence Research, Vol.7(4), pp.52-70
- Publisher
- I G I Global
- DOI
- 10.4018/IJSIR.2016100103
- ISSN
- 1947-9271
- Organisation Unit
- Engage Research Lab; School of Science, Technology and Engineering; University of the Sunshine Coast, Queensland
- Language
- English
- Record Identifier
- 99569199802621
- Output Type
- Journal article
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- International collaboration
- Web Of Science research areas
- Computer Science, Artificial Intelligence
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