Imperial College London


Faculty of EngineeringDepartment of Computing

Professor of Computer Systems



+44 (0)20 7594 8375j.mccann Website




258ACE ExtensionSouth Kensington Campus






BibTex format

author = {Tahir and Yang and Shusen and Adeel and McCann},
doi = {10.1109/HPCC-CSS-ICESS.2015.23},
pages = {654--659},
publisher = {IEEE},
title = {Symbiot: Congestion-driven Multi-resource Fairness for Multi-User Sensor Networks},
url = {},
year = {2015}

RIS format (EndNote, RefMan)

AB - In this paper, we study the problem of multi-resource fairness in multi-user sensor networks with heterogeneous and time-varying resources. Particularly we focus on data gathering applications run on Wireless Sensor Networks (WSNs) or Internet of Things (IoTs) in which users require to run a serious of sensing tasks with various resource requirements. By exploiting graph theory, queueing theory and the notion of dominant resource shares, we develop Symbiot, a light-weight, distributed algorithm that ensures multi-resource fairness between these users. With Symbiot, nodes can independently schedule its resources while maintaining network-level resource fairness through observing traffic congestion levels. Large-scale simulations based Contiki OS and Cooja network emulator show the effectiveness of Symbiot in utilizing resources and reducing average completion times.
AU - Tahir
AU - Yang
AU - Shusen
AU - Adeel
AU - McCann
DO - 10.1109/HPCC-CSS-ICESS.2015.23
EP - 659
PY - 2015///
SP - 654
TI - Symbiot: Congestion-driven Multi-resource Fairness for Multi-User Sensor Networks
UR -
UR -
ER -