Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks

WSNs are complex systems that are mainly limited by the battery life of the nodes in order to have an adequate performance. During the operation of the system, it is not uncommon to have a portion of nodes with low energy levels while other nodes have high energy levels. Nodes with very low residual...

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Main Authors: Carlos A. Guzmán-Medina, Mario E. Rivero-Angeles, Izlian Y. Orea-Flores
Format: Article
Language:English
Published: Wiley 2016-05-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2016/6239020
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author Carlos A. Guzmán-Medina
Mario E. Rivero-Angeles
Izlian Y. Orea-Flores
author_facet Carlos A. Guzmán-Medina
Mario E. Rivero-Angeles
Izlian Y. Orea-Flores
author_sort Carlos A. Guzmán-Medina
collection DOAJ
description WSNs are complex systems that are mainly limited by the battery life of the nodes in order to have an adequate performance. During the operation of the system, it is not uncommon to have a portion of nodes with low energy levels while other nodes have high energy levels. Nodes with very low residual energy must reduce their energy consumption since their operational lifetime is almost over. In this paper, we consider cluster-based WSNs for the event detection where there is a high concentration of high energy nodes and low concentration of low energy nodes. Building on this, we propose extending the battery life of low energy nodes in both the cluster formation and the steady-state phases. For the former, energy efficiency is achieved by means of assigning prioritized access to the shared channel to low energy nodes while delaying the contention access of high energy nodes which can support higher number of collisions before energy depletion. For the latter, we consider the duty-cycle of nodes where the sleep and active modes have dwelling times related to their residual energy levels. The system and the impact of the proposed residual energy-based mechanisms are mathematically evaluated using Markovian models.
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series International Journal of Distributed Sensor Networks
spelling doaj-art-02327bc1e2694be1bdcfd44eacbfe3f72025-08-20T03:16:57ZengWileyInternational Journal of Distributed Sensor Networks1550-14772016-05-011210.1155/2016/6239020Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor NetworksCarlos A. Guzmán-Medina0Mario E. Rivero-Angeles1Izlian Y. Orea-Flores2 Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas del Instituto Politécnico Nacional, 07340 Mexico City, DF, Mexico Communication Networks Lab, Centro de Investigación en Computación-Instituto Politécnico Nacional, 07738 Mexico City, DF, Mexico Unidad Profesional Interdisciplinaria en Ingeniería y Tecnologías Avanzadas del Instituto Politécnico Nacional, 07340 Mexico City, DF, MexicoWSNs are complex systems that are mainly limited by the battery life of the nodes in order to have an adequate performance. During the operation of the system, it is not uncommon to have a portion of nodes with low energy levels while other nodes have high energy levels. Nodes with very low residual energy must reduce their energy consumption since their operational lifetime is almost over. In this paper, we consider cluster-based WSNs for the event detection where there is a high concentration of high energy nodes and low concentration of low energy nodes. Building on this, we propose extending the battery life of low energy nodes in both the cluster formation and the steady-state phases. For the former, energy efficiency is achieved by means of assigning prioritized access to the shared channel to low energy nodes while delaying the contention access of high energy nodes which can support higher number of collisions before energy depletion. For the latter, we consider the duty-cycle of nodes where the sleep and active modes have dwelling times related to their residual energy levels. The system and the impact of the proposed residual energy-based mechanisms are mathematically evaluated using Markovian models.https://doi.org/10.1155/2016/6239020
spellingShingle Carlos A. Guzmán-Medina
Mario E. Rivero-Angeles
Izlian Y. Orea-Flores
Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks
International Journal of Distributed Sensor Networks
title Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks
title_full Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks
title_fullStr Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks
title_full_unstemmed Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks
title_short Residual Energy-Based Strategies for the Transmission Probability and Duty-Cycle Selection in Wireless Sensor Networks
title_sort residual energy based strategies for the transmission probability and duty cycle selection in wireless sensor networks
url https://doi.org/10.1155/2016/6239020
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AT marioeriveroangeles residualenergybasedstrategiesforthetransmissionprobabilityanddutycycleselectioninwirelesssensornetworks
AT izlianyoreaflores residualenergybasedstrategiesforthetransmissionprobabilityanddutycycleselectioninwirelesssensornetworks