Welcome to the InfoSci Platform
Reference Hub1
Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems

Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems

Li-Minn Ang, Kah Phooi Seng, Adamu Murtala Zungeru
Copyright: © 2016 |Volume: 7 |Issue: 4 |Pages: 19
ISSN: 1947-9263|EISSN: 1947-9271|EISBN13: 9781466691599|DOI: 10.4018/IJSIR.2016100103
Cite Article Cite Article

MLA

Ang, Li-Minn, et al. "Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems." IJSIR vol.7, no.4 2016: pp.52-70. https://doi.org/10.4018/IJSIR.2016100103

APA

Ang, L., Seng, K. P., & Zungeru, A. M. (2016). Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems. International Journal of Swarm Intelligence Research (IJSIR), 7(4), 52-70. https://doi.org/10.4018/IJSIR.2016100103

Chicago

Ang, Li-Minn, Kah Phooi Seng, and Adamu Murtala Zungeru. "Utilizing Social Insect-Based Communities for Routing in Network-based Sensor Systems," International Journal of Swarm Intelligence Research (IJSIR) 7, no.4: 52-70. https://doi.org/10.4018/IJSIR.2016100103

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.