Abstract: We study the problem of greedy, single path data propaga-
tion in wireless sensor networks, aiming mainly to minimize
the energy dissipation. In particular, we rst mathemat-
ically analyze and experimentally evaluate the energy e-
ciency and latency of three characteristic protocols, each one
selecting the next hop node with respect to a di erent cri-
terion (minimum projection, minimum angle and minimum
distance to the destination). Our analytic and simulation
ndings suggest that any single criterion does not simulta-
neously satisfy both energyeciency and low latency. To-
wards parameterized energy-latency trade-o s we provide as
well hybrid combinations of the two criteria (direction and
proximity to the sink). Our hybrid protocols achieve sig-
ni cant perfomance gains and allow ne-tuning of desired
performance. Also, they have nice energy balance proper-
ties, and can prolong the network lifetime.
Abstract: In this work, we develop an IPv6 enabled smart building test-bed facility, by combining sensing and communication devices and functionalities. We address the Internet of Things paradigm by using diverse heterogeneous devices such as smartphones, sensor motes, NFC technology and traditional electrical devices, each one serving a specific role in the test-bed facility. Also, we extend a basic actuation component by making it self-aware, in terms of supported resources. Those enhancements allow us to enrich the test-bed’s capabilities in terms of M2M communication, portability and decentralization of the actuation process. Finally, we provide a simple smart room scenario for a tunable combination of energyeciency and comfort, which automatically adjusts the room’s light level based on ambient conditions and user preferences and demonstrate the feasibility of our system.
