Adaptive Instantiation of the Protocol Interference Model in Mission-Critical Wireless Networks

To exploit the strengths of both the physical and the protocol interference models and to understand the varying observations on the relative goodness of scheduling based on the two models in literature, we analyze how network traffic, link length, and wireless signal attenuation affect the optimal instantiation of the protocol model. We also identify the inherent tradeoff between reliability and throughput in the model instantiation. Our analysis explains the seemingly inconsistent observations in literature and sheds light on the open problem of efficiently optimizing the protocol model instantiation. Based on the analytical results, we propose the physical-ratio-K (PRK) interference model as a reliability-oriented instantiation of the protocol model. Via analysis, simulation, and testbed-based measurement, we show that PRK-based scheduling achieves a network throughput very close to (e.g., 95%) what is enabled by physical-model-based scheduling while ensuring the required packet delivery reliability. The PRK model inherits both the high fidelity of the physical model and the locality of the protocol model, thus it is expected to be suitable for distributed protocol design. These findings shed new light on wireless interference models; they also suggest new approaches to MAC protocol design in the presence of uncertainties in traffic and application properties.

[1]  Prasun Sinha,et al.  Link Estimation and Routing in Sensor Network Backbones: Beacon-Based or Data-Driven? , 2009, IEEE Transactions on Mobile Computing.

[2]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[3]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[4]  G. Pottie,et al.  Near ground wideband channel measurement in 800-1000 MHz , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[5]  Dimitrios Koutsonikolas,et al.  Characterizing multi-way interference in wireless mesh networks , 2006, WINTECH.

[6]  Dina Katabi,et al.  Zigzag decoding: combating hidden terminals in wireless networks , 2008, SIGCOMM '08.

[7]  Yiwei Thomas Hou,et al.  How to correctly use the protocol interference model for multi-hop wireless networks , 2009, MobiHoc '09.

[8]  Gang Zhou,et al.  RID: radio interference detection in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[9]  Paolo Santi,et al.  The SCREAM Approach for Efficient Distributed Scheduling with Physical Interference in Wireless Mesh Networks , 2008, 2008 The 28th International Conference on Distributed Computing Systems.

[10]  A. Molisch,et al.  IEEE 802.15.4a channel model-final report , 2004 .

[11]  Gustavo de Veciana,et al.  On Optimal MAC Scheduling With Physical Interference , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[12]  Bastian Katz,et al.  Link Scheduling in Local Interference Models , 2008, ALGOSENSORS.

[13]  Samir Ranjan Das,et al.  A measurement study of interference modeling and scheduling in low-power wireless networks , 2008, SenSys '08.

[14]  Guoliang Xing,et al.  C-MAC: Model-Driven Concurrent Medium Access Control for Wireless Sensor Networks , 2009, IEEE INFOCOM 2009.

[15]  L. Kleinrock,et al.  Packet Switching in Radio Channels : Part Il-The Hidden Terminal Problem in Carrier Sense Multiple-Access and the Busy-Tone Solution , 2022 .

[16]  Xiang-Yang Li,et al.  Efficient interference-aware TDMA link scheduling for static wireless networks , 2006, MobiCom '06.

[17]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[18]  Yixin Diao,et al.  Feedback Control of Computing Systems , 2004 .

[19]  Sumit Roy,et al.  A stochastic model for optimizing physical carrier sensing and spatial reuse in wireless ad hoc networks , 2005, IEEE International Conference on Mobile Adhoc and Sensor Systems Conference, 2005..

[20]  Jing Cao,et al.  Physical Interference Modeling for Transmission Scheduling on Commodity WiFi Hardware , 2009, IEEE INFOCOM 2009.

[21]  Xiang-Yang Li,et al.  Interference-aware topology control for wireless sensor networks , 2005, 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005..

[22]  Matt Welsh,et al.  MoteLab: a wireless sensor network testbed , 2005, IPSN '05.

[23]  Tarik Tabet,et al.  Spatial throughput of multi-hop wireless networks under different retransmission protocols , 2004 .

[24]  Lei Ying,et al.  Scheduling in Mobile Ad Hoc Networks With Topology and Channel-State Uncertainty , 2012, IEEE Transactions on Automatic Control.

[25]  David Wetherall,et al.  Taking the sting out of carrier sense: interference cancellation for wireless LANs , 2008, MobiCom '08.

[26]  T. Mattfeldt Stochastic Geometry and Its Applications , 1996 .

[27]  Ness B. Shroff,et al.  On the Complexity of Scheduling in Wireless Networks , 2006, MobiCom '06.

[28]  Samir Ranjan Das,et al.  On estimating joint interference for concurrent packet transmissions in low power wireless networks , 2008, WiNTECH '08.

[29]  Roger Wattenhofer,et al.  Protocol Design Beyond Graph-Based Models , 2006, HotNets.

[30]  Injong Rhee,et al.  DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks , 2009, IEEE Trans. Mob. Comput..

[31]  R. Michael Buehrer,et al.  Impact of exclusion region and spreading in spectrum-sharing ad hoc networks , 2006, TAPAS '06.

[32]  Panganamala Ramana Kumar,et al.  RHEINISCH-WESTFÄLISCHE TECHNISCHE HOCHSCHULE AACHEN , 2001 .

[33]  Krishna Chintalapudi,et al.  On the Design of MAC Protocols for Low-Latency Hard Real-Time Discrete Control Applications over 802.15.4 Hardware , 2008, 2008 International Conference on Information Processing in Sensor Networks (ipsn 2008).

[34]  Yongwei Zhang,et al.  Data rate for DS-UWB communication systems in wireless personal area networks , 2008, 2008 IEEE International Conference on Ultra-Wideband.

[35]  J. Heidemann,et al.  Experimental Analysis of Concurrent Packet Transmissions in Low-Power Wireless Networks , 2005 .

[36]  Aravind Srinivasan,et al.  Approximation Algorithms for Computing Capacity of Wireless Networks with SINR Constraints , 2008, IEEE INFOCOM 2008 - The 27th Conference on Computer Communications.

[37]  Gang Zhou,et al.  Models and solutions for radio irregularity in wireless sensor networks , 2006, TOSN.