2008/01/01 by Franz‐Josef Rammig, Rammig, Franz, Tales Heimfarth +3
Computer Science · Engineering · #Ant Colony Algorithms #Energy Efficient Wireless Sensor Networks #Metaheuristic Optimization Algorithms Research #Modular Robots and Swarm Intelligence #Wireless Sensor Networks #clustering #service migration
paper · doi:10.4230/dagsemproc.08141.5
openalex publication_date 2008/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose to make use of a completely distributed way of implementing OS services for wireless sensor networks (WSN). I.e. instead of having an instance of the OS on each node of a WSN the services of the OS are distributed over the WSN. Of course this approach implies specific challenges. Two of them are discussed in the paper: Migration of services to nodes such that the overall communication costs are minimized and forming clusters with the tendency to concentrate service requests inside the clusters and at the same time minimizing intra-cluster communication. For both problems biologically inspired solutions are discussed. Service migration is mapped on an Ant Colony Optimization (ACO) technique while as a clustering heuristics Division of Labor in swarms of social insects is used.