Abstract
The network lifetime is a fundamental criterion for evaluating WSNs. Receiving and sending data packets consume energy so judicious routing strategies can effectively extend operational time. The ant colony optimization algorithm, known as ACO, is a probabilistic technique for solving computational problems. In this paper, an ACO-based routing algorithm called PACO is proposed. We take three factors into consideration. First of all, the hops are to be minimized. Additionally, energy distance is defined and needs minimizing. We also define the popularity of the sensors given the necessity to avoid those nodes that are used too often while routing. The definition of the lifetime and energy model is discussed as well. By conducting the simulation, it is proved that PACO outperforms other ACO routing algorithms, indicating that PACO is a promising routing algorithm for prolonging the lifetime of WSNs.
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Su, Y., Li, J., Qin, Z., Wang, L., Zhang, W. (2014). Maximizing the Network Lifetime by Using PACO Routing Algorithm in Wireless Sensor Networks. In: Sun, L., Ma, H., Hong, F. (eds) Advances in Wireless Sensor Networks. CWSN 2013. Communications in Computer and Information Science, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54522-1_16
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DOI: https://doi.org/10.1007/978-3-642-54522-1_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54521-4
Online ISBN: 978-3-642-54522-1
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