Athanasios Kinalis

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Collecting sensory data using a mobile data sink has been shown to drastically reduce energy consumption at the cost of increasing delivery delay. Towards improved energy-latency trade-offs, we propose a biased, adaptive sink mobility scheme, that adjusts to local network conditions, such as the surrounding density, remaining energy and the number of past(More)
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)
Wireless Sensor Networks are comprised of a vast numberof ultra-small, autonomous computing and communicationdevices, with restricted energy, that co-operate to accomplisha large sensing task. In this work: a) We proposeextended versions of two data propagation protocols forsuch networks: the Sleep-Awake Probabilistic ForwardingProtocol (SW-PFR) and the(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)
Motivated by emerging applications, we consider sensor networks where the sensors themselves (not just the sinks) are mobile. We focus on mobility scenarios characterized by heterogeneous, highly changing mobility roles in the network. To capture these high dynamics we propose a novel network parameter, the mobility level, which, although simple and local,(More)
Data propagation in wireless sensor networks can be performed either by hop-by-hop single transmissions or by multi-path broadcast of data. Although several energy-aware MAC layer protocols exist that operate very well in the case of single point-to-point transmissions, none is especially designed and suitable for multiple broadcast transmissions.In this(More)
DAP (Distributed Algorithms Platform) is a generic andhomogeneous simulation environment aiming at the implementation,simulation, and testing of distributed algorithmsfor wired and wireless networks. In this work, we presentits architecture, the most important design decisions, anddiscuss its distinct features and functionalities. DAP allowsthe algorithm(More)
We present a new simulation toolkit called TRAILS (Toolkit for Realism and Adaptivity In Large-scale Simulations), which extends the ns-2 simulator by adding important functionality and optimizing certain critical simulator operations. The added features provide the tools to study wireless networks of high dynamics. TRAILS facilitates the implementation of(More)