You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Adaptive Autonomy in Wireless Sensor Networks

Fulltext:


Authors:

Mirgita Frasheri , Jose Cano-Garcia , Eva Gonzalez-Parada , Baran Çürüklü, Mikael Ekström, Alessandro Papadopoulos, Cristina Urdiales

Publication Type:

Conference/Workshop Paper

Venue:

International Conference on Autonomous Agents and Multi-Agent Systems


Abstract

Moving nodes in a Mobile Wireless Sensor Network (MWSN) typically have two maintenance objectives: (i) extend the coverage of the network as long as possible to a target area, and (ii) extend the longevity of the network as much as possible. As nodes move and also route traffic in the network, their battery levels deplete differently for each node. Dead nodes lead to loss of connectivity and even to disengaging full parts of the network. Several reactive and rule-based approaches have been proposed to solve this issue by adapting redeployment to depleted nodes. However, in large networks a deliberative approach may increase performance by taking the evolution of node battery and traffic into account. In this paper, we present a hybrid agent-based architecture. Agents in each node collaborate and adapt their behaviour to their battery level. Agents are modeled through the willingness to interact abstraction, which defines when agents ask and give help to one another. Thus, depleting nodes may ask to be replaced by healthier counterparts and move to areas with less traffic or to a collection point. At the lower level, negotiations trigger a reactive navigation behaviour based on Social Potential Fields. Results show that the proposed method improves coverage and extends the longevity of the network in an environment without obstacles.

Bibtex

@inproceedings{Frasheri 5742,
author = {Mirgita Frasheri and Jose Cano-Garcia and Eva Gonzalez-Parada and Baran {\c{C}}{\"u}r{\"u}kl{\"u} and Mikael Ekstr{\"o}m and Alessandro Papadopoulos and Cristina Urdiales},
title = {Adaptive Autonomy in Wireless Sensor Networks},
month = {May},
year = {2020},
booktitle = {International Conference on Autonomous Agents and Multi-Agent Systems},
url = {http://www.es.mdu.se/publications/5742-}
}