Detail publikace

Data Gathering Model for Wireless Sensor Networks Based on the Hierarchical Aggregation Algorithms for IP Networks

Originální název

Data Gathering Model for Wireless Sensor Networks Based on the Hierarchical Aggregation Algorithms for IP Networks

Anglický název

Data Gathering Model for Wireless Sensor Networks Based on the Hierarchical Aggregation Algorithms for IP Networks

Jazyk

en

Originální abstrakt

The paper deals with the data gathering in the sessions with the large number of end nodes. This situation can be represented by the networks with the IPTV service or by the monitoring process in the large-scale wireless sensor networks. The main aim of this paper is to propose and investigate the implementation of the Tree Transmission Protocol for IP networks into the restricted wireless sensor networks.

Anglický abstrakt

The paper deals with the data gathering in the sessions with the large number of end nodes. This situation can be represented by the networks with the IPTV service or by the monitoring process in the large-scale wireless sensor networks. The main aim of this paper is to propose and investigate the implementation of the Tree Transmission Protocol for IP networks into the restricted wireless sensor networks.

Dokumenty

BibTex


@article{BUT48176,
  author="Milan {Šimek} and Dan {Komosný} and Radim {Burget} and Patrik {Morávek} and Jorge {Sá Silva} and Ricardo {Silva}",
  title="Data Gathering Model for Wireless Sensor Networks Based on the Hierarchical Aggregation Algorithms for IP Networks",
  annote="The paper deals with the data gathering in the sessions with the large number of end nodes. This situation can be represented by the networks with the IPTV service or by the monitoring process in the large-scale wireless sensor networks. The main aim of this paper is to propose and investigate the implementation of the Tree Transmission Protocol for IP networks into the restricted wireless sensor networks.",
  chapter="48176",
  journal="International Journal of Computer Science and Network Security",
  number="11",
  volume="8",
  year="2008",
  month="december",
  pages="200--209",
  type="journal article - other"
}