Abstract
Due to the low cost of CMOS IP-based cameras, wireless surveillance sensor networks have emerged as a new application of sensor networks able to monitor public or private areas or even country borders. Since these networks are bandwidth intensive and the radioelectric spectrum is limited, especially in unlicensed bands, it is mandatory to assign frequency channels in a smart manner. In this work, we propose the application of automated negotiation techniques for frequency assignment. Results show that these techniques are very suitable for the problem, being able to obtain the best solutions among the techniques with which we have compared them.
Highlights
Wireless multimedia sensor networks are a special type of wireless sensor networks that are able to manage multimedia content
We model the problem of frequency assignment in wireless surveillance sensor network (WSSN) by means of the mathematical problem of graph coloring
A higher initial temperature increases the chances for escaping from local maxima, an excessive temperature can drive the optimizer to escape from the global maximum
Summary
Wireless multimedia sensor networks are a special type of wireless sensor networks that are able to manage multimedia content. The requirements in terms of bandwidth are increasing All of these motives as a whole make it harder for wireless communication networks to meet user demands regarding quality of service. The effect of interferences on the throughput perceived by the user is of paramount significance, as throughput ranges from zero until its maximum value depending on the SIN R (signal-to-interference plus noise ratio; determines the relation between the power of the desired signal (the video we want to receive) and all of the undesired signals that are received (other video flows and noise)) value [8] This last problem is commonly known as the frequency assignment problem (FAP) [9]. We address the frequency (channel) assignment problem in WSSNs from the perspective of automated negotiation techniques.
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