Abstract
Disaster relief is an important application of sensor networks, in which bursting data needs to be collected in a short period to the sink through a multi-hop wireless network. In general, packets containing the reported data have few correlations among each other, such that meaningful information can be inferred from partially received packets. For better understanding of monitored events, it is more important to capture the total number of unique reports rather than to reliably deliver each individual packet. Therefore, in the case of monitoring disaster filed with bursting data, communication channel throughput has higher priority than the channel reliability. Under this circumstance, we revisit the sensor network transport protocols, which use hop-by-hop recovery to provide reliable data transmission over unreliable links. We found that the complex recovery mechanism, while assuring high reliable individual packet delivery, reduces channel throughput when measured data is reported at high rate. To provide optimal data transport in a sensor network with bursting data generation, we propose a light weight sink centric transport protocol, which maximizes the channel throughput by minimizing the interference of packet recovery process. We implement the sink centric transport protocol in TinyOS and evaluate its performance in the TOSSIM simulator. The comparison shows that our proposed approach outperforms the hop-by-hop recovery approach in terms of event reporting throughput and transmission costs.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Woo, A., Tong, T., Culler, D.: Taming the underlying challenges of reliable multihop routing in sensor networks. In: SenSys (2003)
Zhao, J., Govindan, R.: Understanding packet delivery performance in dense wireless sensor networks. In: SenSys (2003)
Stann, F., Heidemann, J.: RMST: Reliable data transport in sensor networks. In: SNPA (2003)
Wan, C.-Y., Campbell, A.T., Krishnamurthy, L.: PSFQ: a reliable transport protocol for wireless sensor networks. In: WSNA (2002)
Sankarasubramaniam, Y., Akan, O.B., Akyildiz, I.F.: ESRT: event-to-sink reliable transport in wireless sensor networks. In: MobiHoc (2003)
Cao, Q., He, T., Fang, L., Abdelzaher, T., Stankovic, J., Son, S.: Efficiency centric communication model for wireless sensor networks. In: INFOCOM (2006)
Levis, P., Lee, N., Culler, M.W.D.: Tossim: Accurate and scalable simulation of entire tinyos applications. In: SenSys (2003)
Demmer, M., Levis, P.: Tython: Scripting tossim. (2004), http://www.tinyos.net/tinyos-1.x/doc/tython/manual.html
Woo, A., Culler, D.E.: A transmission control scheme for media access in sensor networks. In: MobiCom, pp. 221–235 (2001)
Ye, W., Heidemann, J., Estrin, D.: An energy-efficient mac protocol for wireless sensor networks. In: INFOCOM (2002)
van Dam, T., Langendoen, K.: An adaptive energy-efficient mac protocol for wireless sensor networks. In: SenSys (2003)
Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: SenSys (2004)
Rhee, I., Warrier, A., Aia, M., Min, J.: Z-MAC: a hybrid mac for wireless sensor networks. In: SenSys (2005)
Hull, B., Jamieson, K., Balakrishnan, H.: Mitigating congestion in wireless sensor networks. In: SenSys (2004)
Wan, C.-Y., Eisenman, S.B., Campbell, A.T.: CODA: congestion detection and avoidance in sensor networks. In: SenSys (2003)
Wan, C.-Y., Eisenman, S.B., Campbell, A.T., Crowcroft, J.: Siphon: overload traffic management using multi-radio virtual sinks in sensor networks. In: SenSys (2005)
Ee, C.T., Bajcsy, R.: Congestion control and fairness for many-to-one routing in sensor networks. In: SenSys (2004)
Wang, C., Sohraby, K., Lawrence, V., Li, B., Hu, Y.: Priority-based congestion control in wireless sensor networks. In: Sensor Networks, Ubiquitous, and Trustworthy Computing (2006)
Zhang, H., Arora, A., ri Choi, Y., Gouda, M. G.: Reliable bursty convergecast in wireless sensor networks. In: MobiHoc (2005)
Park, S.-J., Vedantham, R., Sivakumar, R., Akyildiz, I.F.: A scalable approach for reliable downstream data delivery in wireless sensor networks. In: MobiHoc (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Wang, C., Xiao, L. (2007). Improving Event-to-Sink Throughput in Wireless Sensor Networks. In: Aspnes, J., Scheideler, C., Arora, A., Madden, S. (eds) Distributed Computing in Sensor Systems. DCOSS 2007. Lecture Notes in Computer Science, vol 4549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73090-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-540-73090-3_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73089-7
Online ISBN: 978-3-540-73090-3
eBook Packages: Computer ScienceComputer Science (R0)