Analysis of an agent-based metric-driven method for ad-hoc, on-demand routing

Ad hocrouting metrics and applied weighting for QoS support

“…In an attempt to prove the need for those parameters to be included in the route determination process, Buchanan et al [4] showed that wireless devices not only have huge performance differences in processing speed, but also in network transmission reliability. In addition, they showed that routing of heavy network traffic imposes higher resource-consumptions in terms of CPU, memory and battery discharge rate to handheld devices, than any other device of a fitter category [4]. Similarly, in another recent study, it was shown that throughput, that is, the rate in which a device can route data, is highly dependent on the device's hardware characteristics [18].…”

“…Buchanan et al [4] defined and implemented a number of test agents, which were capable of determining the overall routing fitness of routing devices of different type, ranging from a powerful workstation to a resource-constrained handheld. Each test was designed as a Java-based stationary agent, and, in addition, test agents were controlled by a number of supervisor agents ( Figure 1).…”

“…The threshold values were derived from experimentation [4], and represent the worst case test results, that an ad hoc routing device can achieve. A device which achieves results equal to a threshold, or above, is determined incapable of routing, and is thus assigned an infinity routing metric (1).…”

“…International Journal of Parallel, Emergent and Distributed Systems 301 Table 5 is used as a look-up table by a source node in order to translate the capable retrieved routes into a final metric (refer to [4] for test results). The average (AV) of the devices' overall routing metrics, and the standard deviation (SD) of these metrics, are used to determine the QoS-level that a route can provide.…”

Autonomous mobile agent routing for efficient server resource allocation

“…Furthermore, MA have been also implemented in various scenarios such as resource allocation for multimedia applications (Varaprasad et al, 2008) data routing (Buchanan et al, 2006), network management, and real time applications (Choudhury et al, 2004) in mobile ad hoc networks, collaborative target tracking (Yingyue and Hairong, 2008) and data dissemination (Chen et al, 2006) in wireless sensor networks, seamless service provision in systems like UMTS , mobile user wireless access to Semantic Web Services where MA are used to find and execute WS in the fixed segment of the network .…”