TY - GEN
T1 - Energy-governed resilient networked systems
AU - Athreya, Arjun P.
AU - Chan-Maestas, Harry
AU - Katz, Edward
AU - Tague, Patrick
AU - Iannucci, Bob
PY - 2014
Y1 - 2014
N2 - Connected embedded systems in the realm of smart infrastructures comprise ubiquitous end-point devices supported by a communication infrastructure. Device, energy supply and network failures are a reality and provisioned communications could fail. Self-organization is a process where network devices cooperate with each other to restore network connectivity on detecting network connectivity failures. Self-organized networks are envisioned to be hierarchical, implying that a root device is expected to spend more energy to forward the entire network's data. This leads to battery exhaustion and therefore a single point of failure in the system. In this paper we address this problem by proposing an energy-governed resilient networking framework. Our framework enforces a policy to throttle upstream network traffic to maintain energy drain at the root device. To demonstrate the effectiveness of the proposed policy, we designed our experiment framework using Nano-RK and FireFly; a lightweight operating system and sensing platform respectively.
AB - Connected embedded systems in the realm of smart infrastructures comprise ubiquitous end-point devices supported by a communication infrastructure. Device, energy supply and network failures are a reality and provisioned communications could fail. Self-organization is a process where network devices cooperate with each other to restore network connectivity on detecting network connectivity failures. Self-organized networks are envisioned to be hierarchical, implying that a root device is expected to spend more energy to forward the entire network's data. This leads to battery exhaustion and therefore a single point of failure in the system. In this paper we address this problem by proposing an energy-governed resilient networking framework. Our framework enforces a policy to throttle upstream network traffic to maintain energy drain at the root device. To demonstrate the effectiveness of the proposed policy, we designed our experiment framework using Nano-RK and FireFly; a lightweight operating system and sensing platform respectively.
UR - http://www.scopus.com/inward/record.url?scp=84906829673&partnerID=8YFLogxK
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U2 - 10.1109/CCNC.2014.6866548
DO - 10.1109/CCNC.2014.6866548
M3 - Conference contribution
AN - SCOPUS:84906829673
SN - 9781479923557
T3 - 2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
SP - 56
EP - 61
BT - 2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
PB - IEEE Computer Society
T2 - 2014 IEEE 11th Consumer Communications and Networking Conference, CCNC 2014
Y2 - 10 January 2014 through 13 January 2014
ER -