Although some remarkable advancements have been achieved in the field of Wireless Sensors Networks concerning hardware configurations and networking, a shadow cone still overstays the research for general and effective software-design approaches, the main reason being the tight requirements and constraints peculiar of this class of distributed embedded systems. This paper presents a technique to optimize a sensor network under memory and energy constraints by dynamically allocating and managing cooperating functions. The proposed approach combines a genetic optimization of the functional allocation policy with a dynamic linking mechanism supporting it.

A Genetic Approach for WSN Lifetime Maximization Through Dynamic Linking and Management

C. Brandolese;L. Rucco
2010-01-01

Abstract

Although some remarkable advancements have been achieved in the field of Wireless Sensors Networks concerning hardware configurations and networking, a shadow cone still overstays the research for general and effective software-design approaches, the main reason being the tight requirements and constraints peculiar of this class of distributed embedded systems. This paper presents a technique to optimize a sensor network under memory and energy constraints by dynamically allocating and managing cooperating functions. The proposed approach combines a genetic optimization of the functional allocation policy with a dynamic linking mechanism supporting it.
Proceedings of the 7th ACM workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
9781450302760
INF
File in questo prodotto:
File Dimensione Formato  
p99-brandolese.pdf

Accesso riservato

: Altro materiale allegato
Dimensione 395.89 kB
Formato Adobe PDF
395.89 kB Adobe PDF   Visualizza/Apri

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/11311/578097
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact