We consider the problem of assigning transmission powers to the nodes of a wireless network in such a way that all the nodes are connected by bidirectional links and the total power consumption is minimized. Since no central authority (with a global vision of the network) exists in wireless networks, only distributed, swarm approaches can be used. We present a distributed protocol that embeds well-known centralized techniques for power minimization, here used in a local, distributed fashion. The result can be seen as a complex adaptive system (the global network), where global optimization emerges as a result of the behavior of local nodes, each one carrying out a myopic, local optimization. Computational results, proving the effectiveness of the new protocol, are finally presented.
Swarm approach for a connectivity problem in wireless networks / Montemanni, Roberto; Gambardella Luca, Maria. - 2005:(2005), pp. 265-272. (Intervento presentato al convegno 2005 IEEE Swarm Intelligence Symposium, SIS 2005 tenutosi a Pasadena, CA, usa nel August 2005) [10.1109/SIS.2005.1501631].
Swarm approach for a connectivity problem in wireless networks
Montemanni Roberto;
2005
Abstract
We consider the problem of assigning transmission powers to the nodes of a wireless network in such a way that all the nodes are connected by bidirectional links and the total power consumption is minimized. Since no central authority (with a global vision of the network) exists in wireless networks, only distributed, swarm approaches can be used. We present a distributed protocol that embeds well-known centralized techniques for power minimization, here used in a local, distributed fashion. The result can be seen as a complex adaptive system (the global network), where global optimization emerges as a result of the behavior of local nodes, each one carrying out a myopic, local optimization. Computational results, proving the effectiveness of the new protocol, are finally presented.
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