A distributed stand-in agent based algorithm for opportunistic resource allocation

  • Petr Benda
  • Pavel Jisl

Mobile ad-hoc networks (MANET) are expected to form the basis of future mission critical applications such as combat and rescue operations. In this context, communication and computational tasks required by overlying applications will rely on the combined capabilities and resources provided by the underlying network nodes. This paper introduces an integrated FlexFeed/A-globe technology and distributed algorithm for opportunistic resource allocation in resource- and policy-constrained mobile ad-hoc networks. The algorithm is based on agent negotiation for the bidding, contract and reservation of resources, relying primarily on the concept of remote presence. In the proposed algorithm, standin Agents technology is used to create a virtual, distributed coordination component for opportunistic resource allocation in mobile ad-hoc networks.

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Submitted by LiuH on Mon, 03/07/2006 - 8:35pm.

dear author,

At the end of paper, you mentioned a set of experiments was carried out, but the results of these experiments are not shown, i'd be interested to know the more details about it.

Submitted by jisl on Tue, 11/07/2006 - 12:47pm.

Dear Huimin Liu,

thanks for this interesting question. In limited length of paper we described only the integration of stand-in agents' approach to distributed coordination and resource allocation with specialized framework for allocation of resources for streaming video-data.

Experiments, mentioned in our paper, illustrates the behavior of stand-in agents in environment with limited communication range. The description of these experiments are in Sislak et al., 2005 (see the references in paper).

Submitted by LiuH on Wed, 12/07/2006 - 7:36am.

Dear jisl,

Thanks for your reply. I'll lookup the reference for more details of experiments. BTW, if your presentation is ready, could you send it to me please?

Cheers

Submitted by yiw on Mon, 24/07/2006 - 2:15pm.

hi:

In system and economic analysis conflict between agents is a major issue and many researchers used game theory a tool. Have you applied your algorithm to solve these kinds of problems? And have you compared with game thoertical analysis in similar research area?

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