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We study networks consisting of a very large number of tiny and inexpensive sensors and introduce SWAS (Small-Worlds of Anonymous Sensors), an algorithm combining self-organization based upon small-worlds principles and Medium Access Control based upon a stack protocol for VLSNs and we report on a preliminary study of the algorithm. The nodes of Very Large Sensor Networks (VLSN) have limited resources;...
In this paper we discuss a scheme that allows sensor networks to operate securely and efficiently. In this scheme after deployment the sensors go through a self-organization phase when they establish a communication pattern among themselves; then they follow this pattern through multiple activity phases when they collect, process, and transmit information. The algorithm for self-organization assumes...
Summary form only given. The only realistic means to assess the reliability of a fault tolerant quantum circuit is through simulation. Quantum circuit simulators use Monte Carlo (MC) strategy to randomly sample possible error scenarios using a random number generator. Monte Carlo simulation can be conducted in parallel, but it requires a large amount of CPU cycles and a fair amount of time. All quantum...
In this paper we propose a scheme for self-organizing sensor networks; the scheme allows a sensor network to adapt to topological changes, include new batches of sensors, and disregard the sensors that have depleted their power reserves, or have been compromised. The algorithm for self-organization allows the sensor network to carry out its mission, has built-in provisions for information assurance,...
In the service-oriented architecture introduced in D.C. Marinescu and J.P. Morrison (2007), the reputation affects the prices producers could ask for their resources, the prices consumers of resources are willing to pay, and the commission charged for every contract. In this paper we introduce the GRB algorithm to quantify the reputations of the participants. The system is self-organizing and this...
A computational grid is a complex system. The state space of a complex system is very large and it is infeasible to create a rigid infrastructure implementing optimal policies and strategies which take into account the current state of the system. An alternative to a rigid infrastructure is to base the system's reactions on logical inference, planning, and learning, the quintessential elements of...
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