Operating systems and network protocols for wireless sensor networks

Sensor network protocols exist to satisfy the communication needs of diverse applications, including data collection, event detection, target tracking and control. Network protocols to enable these services are constrained by the extreme resource scarcity of sensor nodes—including energy, computing, communications and storage—which must be carefully managed and multiplexed by the operating system. These challenges have led to new protocols and operating systems that are efficient in their energy consumption, careful in their computational needs and miserly in their memory footprints, all while discovering neighbours, forming networks, delivering data and correcting failures.

[1]  David E. Culler,et al.  IP is dead, long live IP for wireless sensor networks , 2008, SenSys '08.

[2]  Adam Dunkels,et al.  Enabling large-scale storage in sensor networks with the Coffee file system , 2009, 2009 International Conference on Information Processing in Sensor Networks.

[3]  David E. Culler,et al.  Transmission of IPv6 Packets over IEEE 802.15.4 Networks , 2007, RFC.

[4]  David E. Culler,et al.  A unifying link abstraction for wireless sensor networks , 2005, SenSys '05.

[5]  David E. Culler,et al.  Practical asynchronous neighbor discovery and rendezvous for mobile sensing applications , 2008, SenSys '08.

[6]  David E. Culler,et al.  The emergence of a networking primitive in wireless sensor networks , 2008, CACM.

[7]  Philip Levis,et al.  Usenix Association 8th Usenix Symposium on Operating Systems Design and Implementation 323 Quanto: Tracking Energy in Networked Embedded Systems , 2022 .

[8]  Marvin Theimer,et al.  Cooperative Task Management Without Manual Stack Management , 2002, USENIX Annual Technical Conference, General Track.

[9]  Yu-Chee Tseng,et al.  Power-saving protocols for IEEE 802.11-based multi-hop ad hoc networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[10]  Jeff Rose,et al.  MANTIS: system support for multimodAl NeTworks of in-situ sensors , 2003, WSNA '03.

[11]  Jonathan Grudin,et al.  Design and evaluation , 1995 .

[12]  Deborah Estrin,et al.  Directed diffusion: a scalable and robust communication paradigm for sensor networks , 2000, MobiCom '00.

[13]  John S. Heidemann,et al.  Ultra-low duty cycle MAC with scheduled channel polling , 2006, SenSys '06.

[14]  Tarek F. Abdelzaher,et al.  The LiteOS Operating System: Towards Unix-Like Abstractions for Wireless Sensor Networks , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[15]  Chenyang Lu,et al.  Integrating concurrency control and energy management in device drivers , 2007, SOSP.

[16]  Bhaskar Krishnamachari,et al.  Routing without routes: the backpressure collection protocol , 2010, IPSN '10.

[17]  Suman Nath,et al.  Energy efficient sensor data logging with amnesic flash storage , 2009, 2009 International Conference on Information Processing in Sensor Networks.

[18]  David E. Culler,et al.  Taming the underlying challenges of reliable multihop routing in sensor networks , 2003, SenSys '03.

[19]  Deborah Estrin,et al.  An energy-efficient MAC protocol for wireless sensor networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[20]  Ramesh Govindan,et al.  RCRT: Rate-controlled reliable transport protocol for wireless sensor networks , 2010, TOSN.

[21]  Ramesh Govindan,et al.  TOSThreads: thread-safe and non-invasive preemption in TinyOS , 2009, SenSys '09.

[22]  Philip Levis,et al.  The nesC language: a holistic approach to networked embedded systems , 2003, SIGP.

[23]  Mark D. Corner,et al.  Eon: a language and runtime system for perpetual systems , 2007, SenSys '07.

[24]  Michael Neufeld,et al.  ELF: an efficient log-structured flash file system for micro sensor nodes , 2004, SenSys '04.

[25]  T. Tsvetkov.  RPL : IPv 6 Routing Protocol for Low Power and Lossy Networks , 2010 .

[26]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[27]  John Heidemann,et al.  RMST: reliable data transport in sensor networks , 2003, Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003..

[28]  JeongGil Ko,et al.  The Trickle Algorithm , 2011, RFC.

[29]  Matt Welsh,et al.  Sensor networks for the sciences , 2010, Commun. ACM.

[30]  Eric Anderson,et al.  X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks , 2006, SenSys '06.

[31]  David E. Culler,et al.  A modular network layer for sensorsets , 2006, OSDI '06.

[32]  Deborah Estrin,et al.  Building efficient wireless sensor networks with low-level naming , 2001, SOSP.

[33]  Muneeb Ali,et al.  Protothreads: simplifying event-driven programming of memory-constrained embedded systems , 2006, SenSys '06.

[34]  Adam Dunkels,et al.  A database in every sensor , 2011, SenSys.

[35]  Eddie Kohler,et al.  SOS: A Dynamic Operating System for Sensor Networks , 2005 .

[36]  M. Lakshmanan,et al.  AN ADAPTIVE ENERGY EFFICIENT MAC PROTOCOL FOR WIRELESS SENSOR NETWORKS , 2009 .

[37]  Adam Dunkels,et al.  An adaptive communication architecture for wireless sensor networks , 2007, SenSys '07.

[38]  Margo McCall,et al.  IEEE Computer Society , 2019, Encyclopedia of Software Engineering.

[39]  Philip Levis,et al.  RPL: IPv6 Routing Protocol for Low-Power and Lossy Networks , 2012, RFC.

[40]  Andreas Terzis,et al.  Koala: Ultra-Low Power Data Retrieval in Wireless Sensor Networks , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[41]  Matt Welsh,et al.  Resource aware programming in the Pixie OS , 2008, SenSys '08.

[42]  Satish Kumar,et al.  Next century challenges: scalable coordination in sensor networks , 1999, MobiCom.

[43]  Andrew S. Tanenbaum,et al.  Network Protocols , 1981, CSUR.

[44]  David E. Culler,et al.  Telos: enabling ultra-low power wireless research , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[45]  Andreas Terzis,et al.  Design and evaluation of a versatile and efficient receiver-initiated link layer for low-power wireless , 2010, SenSys '10.