No abstract

Publication informationGiven that the first generation of AAL systems will be deployed in the near future, it is incumbent on designers to factor this need for evolution and adaptivity in their designs and implementations. Thus this paper explores AAL from a number of prospective and considers an agent-based middleware approach to realising an architecture for evolutionary AAL.

No abstract

No abstract

Abstract-The number of active nodes in a WSN deployment governs both the longevity of the network and the accuracy of applications using the network's data. As node hibernation techniques become more sophistocated, it is important that an accurate evaluation methodology is employed to ensure fair comparisons across different techniques. Examining both energy and accuracy ensures a claim of increased longevity for a particular technique can be contrasted against its associated drop, if any, in application accuracy. This change can also be as a result of increased latency and the accuracy encapsulates many aspects of WSN performance in one metric. In this work, we detail the first in a series of simulation experiments designed to demonstrate the tradeoffs for a WSN and we employ mobility tracking as the application to benchmark accuracy. Additionally, we demonstrate experimental evidence for a potential adaptive mobility tracking protocol.

No abstract

Abstract-Many documented instances of existing research on Wireless Sensor Networks (WSN) use deployments that either fall short of, or barely meet, the resource requirements of the application. In this paper, it is envisaged that future WSN deployments will far exceed the resource requirements of any one single application. In a similar fashion to the use of virtual machines on a mainframe, sub-networks of adequate resources will be carved out of the entire deployment to fulfil the requirements of multiple applications. These will be hosted simultaneously on the network, and in many cases, certain WSN nodes will form a component in a number of these Virtual Sensor Networks (VSN). Such VSNs will also be dynamic in nature, adapting resources as nodes go offline. An additional requirement of such networks will be to engage in opportunistic power management, such as node hibernation, while the networks are adapting. In this paper, a solution for both of these issues is proposed, underpinned by a Multi-Agent System (MAS) resident on individual nodes. This solution facilitates both the practical operation of adaptive VSNs, while ensuring aggregate energy consumption can be minimised.

The vision of ubiquitous computing is one in which resource constrained mobile devices form ad-hoc networks to enable the delivery of services that are sensitive and responsive to people. Such networks are dynamic and must be capable of dealing with uncertain information. As emergent system behaviour begins to evolve the complexity of pervasive systems increases. The agent development community have been addressing issues of complexity and uncertainty, within distributed computing, for several years. This paper details the migration process of Agent Factory Micro Edition (AFME), a minimised footprint agent platform for resource constrained mobile devices. The process enables agents to migrate from a resource rich environment to a resource constrained mobile device and vice versa. It requires agents to dynamically alter their form and behaviour so as to adapt to their context.