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, and the behaviour is referred to as swarm intelligence. This chapter presents a study of communication protocols for wireless sensor networks utilizing nature-inspired systems: social insect-based communities and natural creatures. Three types of insects are used for discussion: ants, termites, and bees. In addition, a study of the social foraging behavior of spider monkeys is presented. The performances of these swarm-intelligence-based algorithms were tested on common routing scenarios. The results were compared with other routing algorithms with varying network density and showed that swarm-intelligence-based routing techniques improved on network energy consumption with a control over best-effort service. The results were strengthened with a model of termite-hill routing algorithm for WSN. © 2018, IGI Global.
Ketshabetswe, L. K., Zungeru, A. M., Chuma, J. M., & Mangwala, M. (2018). Swarm-intelligence-based communication protocols for wireless sensor networks: Critical Developments and Applications of Swarm Intelligence. In Critical Developments and Applications of Swarm Intelligence (pp. 271-300). IGI Global. https://doi.org/10.4018/978-1-5225-5134-8.ch011