Energy-governed resilient networked systems

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.

[1]  Ameer Ahmed Abbasi,et al.  A survey on clustering algorithms for wireless sensor networks , 2007, Comput. Commun..

[2]  Mung Chiang,et al.  Power Control in Wireless Cellular Networks , 2008, Found. Trends Netw..

[3]  P.H.J. Chong,et al.  A survey of clustering schemes for mobile ad hoc networks , 2005, IEEE Communications Surveys & Tutorials.

[4]  Patrick Tague,et al.  Network self-organization in the Internet of Things , 2013, IOT 2013.

[5]  Patrick Tague,et al.  Self-organization of a mesh hierarchy for smart grid monitoring in outage scenarios , 2013, 2013 IEEE PES Innovative Smart Grid Technologies Conference (ISGT).

[6]  Guoliang Xing,et al.  Integrated coverage and connectivity configuration in wireless sensor networks , 2003, SenSys '03.

[7]  Anthony Rowe,et al.  FireFly: a cross-layer platform for real-time embedded wireless networks , 2007, Real-Time Systems.

[8]  Parag Kulkarni,et al.  A self-organising mesh networking solution based on enhanced RPL for smart metering communications , 2011, 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks.

[9]  Anthony Rowe,et al.  Nano-RK: an energy-aware resource-centric RTOS for sensor networks , 2005, 26th IEEE International Real-Time Systems Symposium (RTSS'05).

[10]  P. Levis,et al.  RSSI is Under Appreciated , 2006 .

[11]  Anthony Rowe,et al.  RT-Link: A global time-synchronized link protocol for sensor networks , 2008, Ad Hoc Networks.

[12]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[13]  Elif Uysal-Biyikoglu,et al.  Measurement and characterization of link quality metrics in energy constrained wireless sensor networks , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).