TY - GEN
T1 - Partitioning algorithm for a resource-constrained robotic skin sensor network
AU - Vilgelm, Mikhail
AU - Neamtu, Gabriel
AU - Mittendorfer, Philipp
AU - Cheng, Gordon
AU - Kellerer, Wolfgang
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/4/14
Y1 - 2017/4/14
N2 - Sensor applications in robotics, such as artificial robotic skin, feature the shrinking size of nodes, and increasing scale of sensor networks. Together with a requirement for low complexity hardware for individual nodes, this leads to network optimization challenges. In this paper, we introduce a heuristic-based network partitioning algorithm for routing in a wired robotic skin sensor network, which aims at minimizing end-to-end latency and decreasing packet loss. Our algorithm is partitioning the network in sub-trees while balancing load on the root node connections. We benchmark its load balancing and evaluate its end-to-end latency and packet drops via simulation. The evaluation results show the superiority of our algorithm with respect to the state-of-the-art solutions.
AB - Sensor applications in robotics, such as artificial robotic skin, feature the shrinking size of nodes, and increasing scale of sensor networks. Together with a requirement for low complexity hardware for individual nodes, this leads to network optimization challenges. In this paper, we introduce a heuristic-based network partitioning algorithm for routing in a wired robotic skin sensor network, which aims at minimizing end-to-end latency and decreasing packet loss. Our algorithm is partitioning the network in sub-trees while balancing load on the root node connections. We benchmark its load balancing and evaluate its end-to-end latency and packet drops via simulation. The evaluation results show the superiority of our algorithm with respect to the state-of-the-art solutions.
UR - http://www.scopus.com/inward/record.url?scp=85019041391&partnerID=8YFLogxK
U2 - 10.1109/BlackSeaCom.2016.7901579
DO - 10.1109/BlackSeaCom.2016.7901579
M3 - Conference contribution
AN - SCOPUS:85019041391
T3 - 2016 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2016
BT - 2016 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2016
Y2 - 6 June 2016 through 9 June 2016
ER -