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Wireless Communications and Mobile Computing
Volume 2017, Article ID 5618065, 13 pages
Research Article

Efficiency Evaluation of Strategies for Dynamic Management of Wireless Sensor Networks

CDTec, Universidade Federal de Pelotas, Rua Gomes Carneiro, 1, Centro, 96010-610 Pelotas, RS, Brazil

Correspondence should be addressed to Paulo R. Ferreira; rb.ude.lepfu.fni@oluap

Received 31 July 2016; Accepted 17 November 2016; Published 17 January 2017

Academic Editor: Dieter Hogrefe

Copyright © 2017 Andrea Verônica González et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper presents and evaluates dynamic management strategies to improve efficiency in event-triggered wireless sensor networks. We are considering mobility, where nodes move themselves to maximize the coverage, and load balancing state-of-the-art techniques, by which the number of nodes sensing the same area is reduced. To explore mobility, we present a simple method by which nodes can dynamically reorganize themselves based on the force fields approach of mobile robotics. Firstly, the strategies are evaluated separately through experiments with different network configurations and, afterwards, a joint evaluation has been conducted to observe the impact of mobility on the efficiency of load balancing techniques. We show that mobile nodes significantly contribute to keeping the coverage as nodes die in mesh and powerfully improving it in random deployments. Load balancing techniques achieve important results, increasing lifetime and the number of sensed events. However, in random deployments, these techniques lose efficiency and become unsuitable strategies. Combining these strategies with mobility, we observe that PS-based technique keeps its contribution in mesh and random deployments, as well as improving its performance for not so dense networks. Ant-based technique when combined with mobile nodes loses performance significantly in mesh and keeps its good performance in random deployed and less dense networks.