Wireless sensor networks are increasingly employed to develop sophisticated applications where heterogeneous nodes are deployed, and multiple parallel activities must be performed. Therefore, application developers require the ability to partition the system based on the node characteristics, and specify complex interactions among different partitions. Existing programming abstractions for sensor networks tackled this problem by providing a notion of scoping. However, this rarely emerges as afirst-class programming construct, hence limiting its applicability. To address this issue, in this paper we present aflexible notion of scoping in the context of a sensor network macroprogramming framework. Our approach enables the specification of complex interactions among system partitions, thus greatly simplifying the development process. Moreover, this is not detrimental to performance: our approach results reasonably close to an optimal solution computed with global system knowledge, while e...

Enabling Scope-Based Interactions in Sensor Network Macroprogramming

Picco, Gian Pietro;Mottola, Luca;
2007-01-01

Abstract

Wireless sensor networks are increasingly employed to develop sophisticated applications where heterogeneous nodes are deployed, and multiple parallel activities must be performed. Therefore, application developers require the ability to partition the system based on the node characteristics, and specify complex interactions among different partitions. Existing programming abstractions for sensor networks tackled this problem by providing a notion of scoping. However, this rarely emerges as afirst-class programming construct, hence limiting its applicability. To address this issue, in this paper we present aflexible notion of scoping in the context of a sensor network macroprogramming framework. Our approach enables the specification of complex interactions among system partitions, thus greatly simplifying the development process. Moreover, this is not detrimental to performance: our approach results reasonably close to an optimal solution computed with global system knowledge, while e...
2007
Proceedings of the 4th IEEE International Conference on Mobile Ad-hoc and Sensor Systems
Piscataway, USA
IEEE
9781424414550
Picco, Gian Pietro; Mottola, Luca; A., Pathak; A., Bakshi; V. K., Prasanna
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/39934
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 21
  • ???jsp.display-item.citation.isi??? ND
  • OpenAlex ND
social impact