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Automated Negotiation for Resource Assignment in Wireless Surveillance Sensor Networks.

Enrique de la Hoz¹, Jose Manuel Gimenez-Guzman², Ivan Marsa-Maestre³

¹Departamento de Automática, Universidad de Alcalá, Edificio Politécnico, 28805 Alcalá de Henares (Madrid), Spain. enrique.delahoz@uah.es.

Sensors (Basel, Switzerland)

|November 28, 2015

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Automated negotiation techniques efficiently assign frequency channels for bandwidth-intensive wireless surveillance sensor networks. This smart approach optimizes spectrum use, outperforming other methods for reliable monitoring.

Area of Science:

Computer Science
Electrical Engineering
Network Security

Background:

Wireless surveillance sensor networks (WSSNs) are increasingly used for monitoring due to low-cost CMOS IP cameras.
These networks are bandwidth-intensive, requiring efficient spectrum management, especially in limited unlicensed bands.

Purpose of the Study:

To investigate the application of automated negotiation techniques for smart frequency channel assignment in WSSNs.
To evaluate the effectiveness of automated negotiation in optimizing spectrum usage for surveillance networks.

Main Methods:

Implementation of automated negotiation algorithms for dynamic frequency assignment.
Comparative analysis of negotiation techniques against existing methods for WSSN frequency allocation.

Keywords:

automated negotiation graphs resource assignment surveillance wireless sensor networks

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Main Results:

Automated negotiation techniques demonstrate high suitability for frequency assignment in WSSNs.
The proposed negotiation methods achieved superior solutions compared to benchmark techniques.

Conclusions:

Automated negotiation is a highly effective strategy for managing limited radioelectric spectrum in WSSNs.
This approach offers a scalable and efficient solution for frequency allocation in bandwidth-intensive surveillance applications.