The indirect communication and foraging behavior of certain species of ants has inspired a
number of optimization algorithms for NP-hard problems. These algorithms are nowadays …

Many biological systems are composed of unreliable components which self-organize
effectively into systems that achieve a balance between efficiency and robustness. One such …

The current practice in modeling and simulation of wireless sensor network (WSN)
environments is to develop functional WSN systems for event gathering and optimize the …

In this article, we provide convergence results for an Ant-based Routing Algorithm (ARA) for
wireline, packet-switched communication networks, that are acyclic. Such algorithms are …

Social insect communities are formed from simple, autonomous, and cooperative organisms
that are interdependent for their survival. These communities are able to effectively …

High efficient routing is an important factor to be considered in the design of limited energy
resource Wireless Sensor Networks (WSNs). WSN environment has limited resources in …

In ant-based routing protocols, the routing exponent controls how ants hop from node to
node to discover routes based on pheromone values. It has been shown that stable multi …

Bioinspired network control is a promising approach for realizing robust network controls. It
relies on a probabilistic mechanism composed of positive and negative feedback that allows …

Although ant-based routing protocols have been shown empirically to perform well in multi-
hop wireless networks, there lack mathematical frameworks to rigorously characterize their …

This dissertation consists of two main topics: analysis of biologically-inspired algorithms and
hydrodynamic interaction of droplets. The former provides a detailed description and …