ADAPTIVE MIDDLEWARE FOR RESOURCE-CONSTRAINED MOBILE; AD HOC AND WIRELESS SENSOR NETWORKS (2009)
BibTeX
@MISC{Fok09adaptivemiddleware,
author = {Chien-liang Fok},
title = {ADAPTIVE MIDDLEWARE FOR RESOURCE-CONSTRAINED MOBILE; AD HOC AND WIRELESS SENSOR NETWORKS},
year = {2009}
}
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Abstract
Mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs) are two recently-developed technologies that uniquely function without fixed infrastructure support, and sense at scales, resolutions, and durations previously not possible. While both offer great potential in many applications, developing software for these types of networks is extremely difficult, preventing their wide-spread use. Three primary challenges are (1) the high level of dynamics within the network in terms of changing wireless links and node hardware configurations, (2) the wide variety of hardware present in these networks, and (3) the extremely limited computational and energy resources available. Until now, the burden of handling these issues was put on the software application developer. This dissertation presents three novel programming models and middleware systems that address these challenges: Limone, Agilla, and Servilla. Limone reliably handles high levels of dynamics within MANETs. It does this through lightweight coordination primitives that make minimal assumptions about network connectivity. Agilla enables self-adaptive WSN applications via the integration of mobile agent and tuple space programming models, which is critical given the continuously changing network. It is the rst system to successfully demonstrate the feasibility of using mobile agents and tuple spaces within
Keyphrases
high level mobile agent xed infrastructure support minimal assumption tuple space programming model tuple space hardware present con gurations self-adaptive wsn application mobile ad hoc network limited computational network connectivity wide-spread use middleware system many application software application developer wireless link lightweight coordination wireless sensor network primary challenge energy resource wide variety rst system recently-developed technology
