Mobile P2P automatic content sharing by ontology-based and contextualized integrative negotiation

1Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The goal of enterprise computing is to achieve efficient enterprise automation and to optimize enterprise value through an understanding of external and internal status for business optimization. With the advancement in wireless technology, mobile communication has become a salient interaction media between people. Particularly, with the ad-hoc mobile networks, each peer is able to attain information and services (from the other peers) of value to the peer anywhere, any time and using a variety of different kinds of devices. However, how to empower peers to share and acquire information/services through an automated negotiation mechanism, to take into account the attributes of the context (physical and non-physical) and then to achieve social welfare is one of the ideals in exploiting a wireless Peer-to-Peer network environment in the era of enterprise computing. Accordingly, this paper presents Contextualized Integrative Negotiation Strategies (CINS) for content sharing in wireless Peer-to-Peer environments. CINS enables peers to engage proper interactions within the environment in time, to understand the needs of the other peers and to employ practices of cooperation negotiation (instead of competition ones). In CINS, peer re-learning negotiation strategies consider content-sharing ontologies employed and the reward attained from the environment for the purpose of useful sharing experience. This not only helps peers embrace a common consensus of collective benefits in content sharing but also guarantees that the negotiation results achieve win-win decisions of allocations. © Springer-Verlag Berlin Heidelberg 2006.

Cite

CITATION STYLE

APA

Yuan, S. T., & Yeh, M. L. (2006). Mobile P2P automatic content sharing by ontology-based and contextualized integrative negotiation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4055 LNCS, pp. 115–132). Springer Verlag. https://doi.org/10.1007/11780397_10

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free