Adaptive ad hoc network routing protocols can obtain improved performance over a wide variety of node mobility and network dynamics when compared with non-adaptive protocols. A mobility metric, which quantifies the effect of node movement in order to measure the communication potential in a mobile network, can be used to develop an adaptive ad hoc network protocol. We provide a set of requireme...

Routing is an important challenge in WSN due to the presence of hundreds or thousands of sensor nodes. Low Energy Adaptive Clustering Hierarchy (LEACH) is a hierarchical routing and data dissemination protocol. LEACH divides a network domain into several sub-domains that are called clusters. Non-uniformity of cluster distribution and CHs selection without considering the positions of other sens...

Background Network-Oriented Modelling based on adaptive temporal-causal networks provides a unified approach to model and analyse dynamics and adaptivity of various processes, including mental and social interaction processes. Methods Adaptive temporal-causal network models are based on causal relations by which the states in the network change over time, and these causal relations are adapti...

Adaptive routing can improve network performance and fault-tolerance by providing multiple routing paths. However, the implementation complexity of adaptive routing can be signiicant, discouraging its use in commercial massively parallel systems. In this paper, we introduce Hierarchical Adaptive Routing (HAR), a new adaptive routing framework, which provides a uni-ed framework for simple and hi...

Ž . The paper presents two neural networks based on the adaptive resonance theory ART for the recognition of several odors subjected Ž . to drift. The neural networks developed by Grossberg supervised and unsupervised have been used for two different drift behaviors. One in which the clusters end up to overlap each other and the other when they do not. The latter case is solved by unsupervision...

Due to the increasingly complex nature of the modern supply chain networks (SCNs), a recent research trend has focussed on modelling SCNs as complex adaptive systems. Despite the substantial number of studies devoted to such hypothetical modelling efforts, studies analysing the topological properties of real world SCNs have been relatively rare, mainly due to the scarcity of data. This paper ai...

Autonomic communications systems must demonstrate behaviour that remains correct under a range of environmental conditions. In order to gain confidence that a system will behave as intended, it is advantageous to have a formal description of the expected behaviour that can be analysed and tested for compliance with different stimuli. We present an adaptive systems perspective on a recently-prop...

Artificial, neurobiological, and social networks are three distinct complex adaptive systems (CAS), each containing discrete processing units (nodes, neurons, and humans respectively). Despite the apparent differences, these three networks are bound by common underlying principles which describe the behaviour of the system in terms of the connections of its components, and its emergent properti...

One of the difficulties that self-directed learners face on their learning process is choosing the right learning resources. One of the goals of adaptive educational systems is helping students in finding the best set of learning resources for them. Adaptive systems try to infer the students’ characteristics and store them in a user model whose information is used to drive the adaptation. Howev...

International collaboration as measured by co-authorship relations on refereed papers grew linearly from 1990 to 2005 in terms of the number of papers, but exponentially in terms of the number of international addresses. This confirms Persson et al.’s (2004) hypothesis of an inflation in international collaboration. Patterns in international collaboration in science can be considered as network...