@booklet {286,
	title = {Artificial Intelligence And Synchronization In Wireless Sensor Networks},
	journal = {JOURNAL OF NETWORKS},
	volume = {4},
	year = {2009},
	pages = {382{\textendash}391},
	abstract = {The basic concept behind a Wireless Sensor Network is to deploy a large number of sensor nodes able to acquire and process data. Most of WSNs applications require sensor nodes to maintain local clocks both to determine the events order and to provide temporal information to measured data. Thus, providing a powerful synchronization system is one of the most important goals to be pursued if an efficient utilization of sensor networks has to be addressed. In order to achieve this goal, applications generally require a synchronization precision close to Milli seconds. This paper proposes a novel synchronization system based on Kohonens Self Organizing Maps (SOMs), able to provide some Artificial Intelligence features to sensor nodes. A SOM is a particular neural network that learns to classify data without any supervision. In each sensor node, a SOM is implemented to evaluate the sensor node time, using a very little amount of storage and computing resources. In a scenario where thousands of sensor nodes are placed, this system evaluates the time of each sensor in a distributed manner, assuming a very little percentage of nodes knowing their actual time, thus ensuring an effective clock synchronization among all the sensors.},
	keywords = {neural networks, synchronization, Wireless sensor networks},
	doi = {10.4304/jnw.4.6.382-391},
	author = {L. Paladina and A. Biundo and Marco Scarpa and A. Puliafito}
}
@booklet {290,
	title = {A Multi-sink Swarm-based Routing Protocol For Wireless Sensor Networks},
	journal = {Computers and Communications, 2009. ISCC 2009. IEEE Symposium on},
	year = {2009},
	month = {8 2009},
	pages = {28{\textendash}33},
	publisher = {IEEE Computer Society},
	address = {Washington, DC},
	doi = {10.1109/ISCC.2009.5202301},
	author = {A. Puliafito and Marco Scarpa and L. Paladina and M. Paone}
}
@booklet {298,
	title = {Advantages in Synchronization for Wireless Sensor Networks},
	journal = {3RD INTERNATIONAL SYMPOSIUM ON WIRELESS PERVASIVE COMPUTING, VOLS 1-2},
	year = {2008},
	month = {9 May 2008},
	pages = {160{\textendash}164},
	publisher = {IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667},
	address = {Piscataway, NJ},
	abstract = {Providing efficient mechanisms to reduce consuming power and optimize computing resources is one of the most important goals to be pursued when an efficient utilization of sensor networks has to be addressed. To reduce power consumption at the MAC level, sensor networks usually make use of a scheduled contention protocol that adopts listen/sleep cycles. Cycles synchronization can improve performance, although in a sensor network with hundreds of nodes a predefined synchronization degree will determine a huge power consumption due to messages overhead. This paper aims to analyze advantages and disadvantages of cycles synchronization. It provides some rules that help to select and configure a MAC level protocol or a synchronization algorithm with the aim to maximize the network performance.},
	doi = {10.1109/ISWPC.2008.4556188},
	author = {L. Paladina and Marco Scarpa and A. Puliafito}
}
@booklet {291,
	title = {Self Organizing Maps For Synchronization In Wireless Sensor Networks},
	journal = {New Technologies, Mobility and Security, 2008. NTMS {\textquoteright}08.},
	year = {2008},
	month = {7 november 2008},
	pages = {1{\textendash}6},
	publisher = {IEEE / Institute of Electrical and Electronics Engineers Incorporated:445 Hoes Lane:Piscataway, NJ 08854:(800)701-4333, (732)981-0060, EMAIL: subscription-service@ieee.org, INTERNET: http://www.ieee.org, Fax: (732)981-9667},
	address = {Piscataway, NJ},
	author = {L. Paladina and A. Biundo and Marco Scarpa and A. Puliafito}
}
