A procedure for benchmarking MAC protocols used in wireless sensor networks

SUMMARY The development of new MAC protocols to deal with emerging applications for infrastructure-free networks, such as wireless sensor networks, is currently impeded by the lack of a common benchmarking standard to determine the suitability of certain protocols to certain scenarios. There is a need to rectify this situation to facilitate the development of new MAC protocols by improving the quality of their evaluation. To achieve this goal, the current methods, scenarios and metrics used for evaluating MAC protocols for wireless sensor networks are surveyed, and a common application independent benchmark is formulated to assess the suitability of new and emerging protocols.

[1]  Giuseppe Anastasi,et al.  Performance measurements of motes sensor networks , 2004, MSWiM '04.

[2]  David Eugene Smith,et al.  A source book in mathematics , 1930 .

[3]  A. Varga,et al.  THE OMNET++ DISCRETE EVENT SIMULATION SYSTEM , 2003 .

[4]  Deborah Estrin,et al.  Medium access control with coordinated adaptive sleeping for wireless sensor networks , 2004, IEEE/ACM Transactions on Networking.

[5]  David Goldsman,et al.  Simulation output analysis , 1992, WSC '92.

[6]  M. Gerla,et al.  GloMoSim: a library for parallel simulation of large-scale wireless networks , 1998, Proceedings. Twelfth Workshop on Parallel and Distributed Simulation PADS '98 (Cat. No.98TB100233).

[7]  Bhaskar Krishnamachari,et al.  Performance evaluation of the IEEE 802.15.4 MAC for low-rate low-power wireless networks , 2004, IEEE International Conference on Performance, Computing, and Communications, 2004.

[8]  Robert Tappan Morris,et al.  Capacity of Ad Hoc wireless networks , 2001, MobiCom '01.

[9]  P.J.M. Havinga,et al.  On the design of an energy-efficient low-latency integrated protocol for distributed mobile sensor networks , 2004, International Workshop on Wireless Ad-Hoc Networks, 2004..

[10]  Y. C. Tay,et al.  Sift: A MAC Protocol for Event-Driven Wireless Sensor Networks , 2006, EWSN.

[11]  Mani B. Srivastava,et al.  Optimizing Sensor Networks in the Energy-Latency-Density Design Space , 2002, IEEE Trans. Mob. Comput..

[12]  Sridhar Radhakrishnan,et al.  PMAC: an adaptive energy-efficient MAC protocol for wireless sensor networks , 2005, 19th IEEE International Parallel and Distributed Processing Symposium.

[13]  Richard Tynan,et al.  MERLIN: A Synergetic Integration of MAC and Routing Protocol for Distributed Sensor Networks , 2006, 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks.

[14]  D. Everitt,et al.  A Partitioned Power and Location Aware MAC Protocol for Mobile Ad Hoc Networks , 2005 .

[15]  Cauligi Raghavendra,et al.  An Adaptive Energy-Efficient and Low-Latency MAC for Data Gathering in Sensor Networks , 2003 .

[16]  Koen Langendoen,et al.  Efficient broadcasting protocols for regular wireless sensor networks , 2003, 2003 International Conference on Parallel Processing, 2003. Proceedings..

[17]  Mario Gerla,et al.  GloMoSim: a library for parallel simulation of large-scale wireless networks , 1998 .

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

[19]  G. Hardy A Source Book in Mathematics , 1930, Nature.

[20]  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.

[21]  Paul J.M. Havinga,et al.  A Low-Latency, Information-Centric Medium Access Protocol forWireless Sensor Networks , 2004 .

[22]  Andrea Francini,et al.  A comparison of methodologies for the stationary analysis of data gathered in the simulation of telecommunication networks , 1996, Proceedings of MASCOTS '96 - 4th International Workshop on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.

[23]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[24]  Mineo Takai,et al.  Parssec: A Parallel Simulation Environment for Complex Systems , 1998, Computer.

[25]  Paul J. M. Havinga,et al.  Protocol assessment issues in low duty cycle sensor networks: the switching energy , 2006, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC'06).

[26]  Amre El-Hoiydi,et al.  WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks , 2004, Proceedings. ISCC 2004. Ninth International Symposium on Computers And Communications (IEEE Cat. No.04TH8769).

[27]  Katia Obraczka,et al.  Energy-efficient collision-free medium access control for wireless sensor networks , 2003, SenSys '03.

[28]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[29]  Young-Bae Ko,et al.  A traffic aware, energy efficient MAC protocol for wireless sensor networks , 2005, 2005 IEEE International Symposium on Circuits and Systems.

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

[31]  Gregory J. Pottie,et al.  Wireless integrated network sensors , 2000, Commun. ACM.