Meta-heuristics for reliable communication in large scale wireless sensor and actuator networks

• Grant number: 15/18580-9
• Support Opportunities: Regular Research Grants
• Start date: March 01, 2016
• End date: February 28, 2018
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Principal Investigator: Valerio Rosset
• Grantee: Valerio Rosset
• Host Institution: Instituto de Ciência e Tecnologia (ICT). Universidade Federal de São Paulo (UNIFESP). Campus São José dos Campos. São José dos Campos , SP, Brazil
• Associated researchers: Bruno Yuji Lino Kimura ; Juliana Garcia Cespedes ; Mariá Cristina Vasconcelos Nascimento Rosset

Abstract

The Wireless Sensor (and Actuator) Networks (WSN/WSANs) may be composed by hundreds to thousands of low cost sensor nodes with finite energy supply and reduced communication, storage and processing capabilities. In the literature, one may find a great number of routing protocols primarily concerned with the energy efficiency of sensor nodes. However they may not provide adequate data delivery reliability required by strict applications, such as natural disaster and border monitoring. This problem rises up in large scale WSN/WSANs in which the large number of concurrently transmissions reduces the data delivery rate. In this project we propose reliable and energy efficient routing solutions for large scale WSN/WSANs with dynamic topology. The solutions developed in this project will take combinatorial optimization and bio-inspired algorithms into account aiming at the balance between energy consumption, latency and data message delivery reliability. (AU)

Scientific publications

(5)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DE OLIVEIRA GUIMARAES, MARCELO GUIDO; ROSSET, VALERIO. A lightweight multicast approach based on bloom filters for actuator-sensor-actuator communication in WSANs. INTERNATIONAL JOURNAL OF SENSOR NETWORKS, v. 28, n. 4, p. 230-241, 2018. (15/18580-9)

FRANCISQUINI, RODRIGO; ROSSET, VALERIO; NASCIMENTO, MARIA C. V.. GA-LP: A genetic algorithm based on Label Propagation to detect communities in directed networks. EXPERT SYSTEMS WITH APPLICATIONS, v. 74, p. 127-138, MAY 15 2017. (15/18580-9, 15/21660-4)

JESKE, MARLON; ROSSET, VALERIO; NASCIMENTO, MARIA C., V. Determining the trade-offs between data delivery and energy consumption in large-scale WSNs by multi-objective evolutionary optimization. Computer Networks, v. 179, p. 18-pg., 2020-10-09. (15/21660-4, 15/18580-9)

LIMA, LUIS EDUARDO; LINO KIMURA, BRUNO YUJI; ROSSET, VALERIO. Experimental Environments for the Internet of Things: A Review. IEEE SENSORS JOURNAL, v. 19, n. 9, p. 3203-3211, MAY 1 2019. (15/18580-9)

ROSSET, VALERIO; PAULO, MATHEUS A.; CESPEDES, JULIANA G.; NASCIMENTO, MARIA C. V.. Enhancing the reliability on data delivery and energy efficiency by combining swarm intelligence and community detection in large-scale WSNs. EXPERT SYSTEMS WITH APPLICATIONS, v. 78, p. 89-102, JUL 15 2017. (15/18580-9, 15/21660-4)