Abstract
Modern sensor networks are not used only to collect data from a large number of sensor nodes, but also to process the data for their applications. Although networking for data, e.g., the routing of data packets, and processing data have been handled separately so far, data processing for several applications in sensor networks process depends on networking. It can improve performance to change the routes of packets according to the requirements of data processing for applications, such as collecting data from multiple sensor nodes. This paper proposes an approach to defining itineraries for packets among nodes and data processing in a unified fashion. The framework has several advantages. It can adapt its networking to the requirement of each packet, even when there are multiple packets whose requirements are different. Unlike existing protocols, each packet can also travel one or more nodes under its own control. The framework is constructed based on a process calculus for specifying routings and function calls at nodes. The paper presents a prototype implementation of the framework.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The size depends on the size of data given as the arguments in the KVS.
References
Jamieson, K., Moss, D., Gnawali, O., Fonseca, R., Levis, P.: Collection tree protocol. In: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, pp. 1–14 (2009)
Rajagopalan, R., Varshney, P.K.: Data-aggregation techniques in sensor networks: a survey. IEEE Commun. Surveys Tutor. 8(4), 48–63 (2006)
Kamra, A., Misra, V., Rubenstein, D.: Counttorrent: ubiquitous access to query aggregates in dynamic and mobile sensor networks. In: Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, SenSys ’07, pp. 43–57. Association for Computing Machinery (2007)
Yao, Y., Gehrke, J.: The cougar approach to in-network query processing in sensor networks. ACM SIGMOD Rec. 31(3), 9–18 (2002)
Krishna, R.K., Bhakare, K.R., Bhakare, S.: An energy-efficient grid based clustering topology for a wireless sensor network. Int. J. Comput. Appl. 39(14), 24–28 (2012)
Tennenhouse, D.L., Smith, J.M., Sincoskie, W.D., Wetherall, D.J., Minden, G.J.: A survey of active network research. IEEE Commun. Magaz. 35(1), 80–86 (1997)
Han, C.-C., Boulis A., Srivastava, M.B.: Design and implementation of a framework for efficient and programmable sensor networks. In: Proceedings of 1st International Conference on Mobile Systems, Applications, and Services (MobiSys 2003). ACM, pp. 187–200
Moore, J.T., Gunter, C.A., Hicks, M., Kakkar, P., Nettles, S.: Plan: a packet language for active networks. In: Proceedings of Functional Programming (ICFP), vol. 34. ACM, pp. 86–93
Schwartz, B., Jackson, A.W., Strayer, W.T., Zhou, W., Rockwell, R.D., Partridge, C.: Smart packets for active networks. In: Proceedings of 1999 IEEE Second Conference on Open Architectures and Network Programming. Proceedings. OPENARCH ’99, pp. 90–97 (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Satoh, I. (2023). An Integration of Packet Routing and Data Processing in Sensor Networks. In: Julián, V., Carneiro, J., Alonso, R.S., Chamoso, P., Novais, P. (eds) Ambient Intelligence—Software and Applications—13th International Symposium on Ambient Intelligence. ISAmI 2022. Lecture Notes in Networks and Systems, vol 603. Springer, Cham. https://doi.org/10.1007/978-3-031-22356-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-22356-3_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-22355-6
Online ISBN: 978-3-031-22356-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)