Low-power and topology-free data transfer protocol with synchronous packet transmissions

Tightly synchronizing transmissions of the same packet from different sources theoretically results in constructive interference. Exploiting this property potentially speeds up network-wide packet propagation with minimal latencies. Our empirical results suggest the timing constraints can be relaxed in the real world, especially for radios using lower frequencies such as the IEEE 802.15.4 radios at 900 MHz. Based on these observations we propose PEASST, a topology-free protocol that leverages synchronized transmissions to lower the cost of end-to-end data transfers, and enables multiple traffic flows. In addition, PEASST integrates a receiver-initiated duty-cycling mechanism to further reduce node energy consumption. Results from both our Matlab-based simulations and indoor testbed reveal that PEASST can achieve a packet delivery latency matching the current state-of-the-art schemes that also leverages synchronized transmissions. In addition, PEASST reduces the radio duty-cycling by three-fold. Furthermore, comparisons with a multi-hop routing protocol shows that PEASST effectively reduces the per-packet control overhead. This translates to a ~10% higher packet delivery performance with a duty cycle of less than half.

[1]  Lothar Thiele,et al.  Efficient network flooding and time synchronization with Glossy , 2011, Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks.

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

[3]  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).

[4]  Kamin Whitehouse,et al.  Flash Flooding: Exploiting the Capture Effect for Rapid Flooding in Wireless Sensor Networks , 2009, IEEE INFOCOM 2009.

[5]  Bhaskar Krishnamachari,et al.  Experimental study of concurrent transmission in wireless sensor networks , 2006, SenSys '06.

[6]  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.

[7]  JeongGil Ko,et al.  Connecting low-power and lossy networks to the internet , 2011, IEEE Communications Magazine.

[8]  R. Wattenhofer,et al.  Dozer: Ultra-Low Power Data Gathering in Sensor Networks , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[9]  Lothar Thiele,et al.  Low-power wireless bus , 2012, SenSys '12.

[10]  Philippe Bonnet,et al.  Meeting ecologists' requirements with adaptive data acquisition , 2010, SenSys '10.

[11]  Philip Levis,et al.  Collection tree protocol , 2009, SenSys '09.

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

[13]  Axel Böttcher,et al.  The capture effect in multiaccess communications-the Rayleigh and landmobile satellite channels , 1993, IEEE Trans. Commun..

[14]  R. Cardell-Oliver,et al.  Field testing a wireless sensor network for reactive environmental monitoring [soil moisture measurement] , 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..

[15]  JeongGil Ko,et al.  Just send me the summary!: analyzing sensor data for accurate summary reports in indoor environments , 2012, SenSys '12.

[16]  Omer Gurewitz,et al.  RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks , 2008, SenSys '08.

[17]  JeongGil Ko,et al.  Pragmatic low-power interoperability: ContikiMAC vs TinyOS LPL , 2012, 2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).

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

[19]  Lothar Thiele,et al.  The low-power wireless bus: simplicity is (again) the soul of efficiency , 2012, IPSN '12.

[20]  Matt Welsh,et al.  Deploying a wireless sensor network on an active volcano , 2006, IEEE Internet Computing.