In this work we model the lifetime of a clustered sensor network deployed for target detection. We assume sensors are randomly dropped on a bidimensional field in order to detect target traversals occuring stochastically. Once a target enters the sensing area of a sensor, the sensor transmits such information to a cluster head, in charge of receiving and retransmitting the messages received from the sensors deployed on the field. The contribution of this work is threefold. We first identify the sensing nodes whose behavior is key to model the duration of sensing operations. We then proceed, providing a heuristic estimation of the traffic received by the cluster head to quantify its energy requirements, resorting to specific lifetime definitions. We finally evaluate the relationship between our probabilistic and heuristic models and the time until when the network fulfills its purpose, i.e., it remains capable of detecting and reporting the traversal of any target to a sink, as obtained by simulation.

Donatiello, L., Marfia, G. (2017). Modeling and shaping the lifetime of target detection sensor networks. Association for Computing Machinery [10.4108/eai.25-10-2016.2266909].

Modeling and shaping the lifetime of target detection sensor networks

DONATIELLO, LORENZO;MARFIA, GUSTAVO
2017

Abstract

In this work we model the lifetime of a clustered sensor network deployed for target detection. We assume sensors are randomly dropped on a bidimensional field in order to detect target traversals occuring stochastically. Once a target enters the sensing area of a sensor, the sensor transmits such information to a cluster head, in charge of receiving and retransmitting the messages received from the sensors deployed on the field. The contribution of this work is threefold. We first identify the sensing nodes whose behavior is key to model the duration of sensing operations. We then proceed, providing a heuristic estimation of the traffic received by the cluster head to quantify its energy requirements, resorting to specific lifetime definitions. We finally evaluate the relationship between our probabilistic and heuristic models and the time until when the network fulfills its purpose, i.e., it remains capable of detecting and reporting the traversal of any target to a sink, as obtained by simulation.
2017
ValueTools 2016 - 10th EAI International Conference on Performance Evaluation Methodologies and Tools
219
226
Donatiello, L., Marfia, G. (2017). Modeling and shaping the lifetime of target detection sensor networks. Association for Computing Machinery [10.4108/eai.25-10-2016.2266909].
Donatiello, Lorenzo; Marfia, Gustavo
File in questo prodotto:
Eventuali allegati, non sono esposti

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/11585/607973
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

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