Titlebook: Algorithmic Aspects of Wireless Sensor Networks; 5th International Wo Shlomi Dolev Conference proceedings 2009 Springer-Verlag Berlin Heide

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Sensor Field: A Computational Modelces communicate through a fixed communication graph and interact with the environment through input/output data streams. We analyze the performance of .s solving two sensing problems the . and the . problems. For constant memory .s we show that the set of recognized languages is contained in DSPACE(

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Near-Optimal Radio Use for Wireless Network Synchronizationsend nor receive messages), or switch their radios on and engage in communication. The problem has been extensively studied in practice, in the setting such as deployment and clock synchronization of wireless sensor networks – see, for example, [31,41,33,29,40]. The goal in these papers is different

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Key Levels and Securing Key Predistribution against Node Capturesse networks and the devices are likely non tamper-proof, an adversary can collect the keys and decrypt some transmissions..We propose and analyze . technique that can be used on top of most key predistribution schemes in order to reduce chances of an adversary. The modification does not increase the

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Link Reversal: How to Play Better to Work Less efficient applications. A popular algorithm design technique for such systems is link reversal, first proposed by Gafni and Bertsekas [1] for routing, and subsequently employed in algorithms for, e.g., partition-tolerant routing [2], mutual exclusion [3] , and leader election [4,5,6]. Gafni and Ber

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Early Obstacle Detection and Avoidance for All to All Traffic Pattern in Wireless Sensor Networksency of routing algorithms is increased by voluntarily avoiding some regions in the vicinity of obstacles, areas which we call dead-ends. In this paper, we first propose a fast convergent routing algorithm with proactive dead-end detection together with a formal definition and description of dead-en

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A Note on Uniform Power Connectivity in the SINR Modeladio transmitters distributed in some area, we seek to build a directed strongly connected communication graph, and compute an edge coloring of this graph such that the transmitter-receiver pairs in each color class can communicate simultaneously. Depending on the interference model, more or less co