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In wireless sensor networks data propagation is usually performed by sensors transmitting data towards a <i>static</i> control center (sink). Inspired by important applications (mostly related to ambient intelligence) and as a first step towards introducing mobility, we propose the idea of having <i>a sink moving in the network area and collecting data from(More)
In this work, we study the fundamental naming and counting problems (and some variations) in networks that are anonymous, unknown , and possibly dynamic. In counting, nodes must determine the size of the network n and in naming they must end up with unique identities. By anonymous we mean that all nodes begin from identical states apart possibly from a(More)
In this paper we describe a new simulation platform for complex wireless sensor networks that operate a collection of distributed algorithms and network protocols. Simulating such systems is complicated because of the need to coordinate different network layers and debug protocol stacks, often with very different interfaces, options, and fidelities. Our(More)
In this work we propose a new energy efficient and faulttolerant protocol for data propagation in wireless sensornetworks, the Variable Transmission Range Protocol VTRP.The basic idea of data propagation in VTRP is the varyingrange of data transmissions, ie. we allow the transmissionrange to increase in various ways. Thus data propagationin our protocol(More)
Smart Dust is a set of a vast number of ultra-small fully autonomous computing and communication devices, with very restricted energy and computing capabilities, that cooperate to quickly and efficiently accomplish a large sensing task. Smart Dust can be very useful in practice, i.e., in the local detection of a remote crucial event and the propagation of(More)
We investigate the impact of multiple, mobile sinks on efficient data collection in wireless sensor networks. To improve performance, our protocol design focuses on minimizing overlaps of sink trajectories and balancing the service load among the sinks. To cope with high network dynamics, placement irregularities and limited network knowledge we propose(More)