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On the Lifetime of Asynchronous Software-Defined Wireless Sensor Networks

Amitangshu Pal, Alireza Jolfaei

2020IEEE Internet of Things Journal25 citationsDOI

Abstract

In this article, we consider a software-defined wireless sensor network (WSN) architecture which conserves energy by applying asynchronous duty cycling. In asynchronous sensor networks, the overhearing adversely impacts the energy consumption of the nodes. Using a mathematical model, we compute the maximum lifetime of the network and accordingly propose a multichannel operation and transmit power control to reduce the effect of overhearing in asynchronous networks. Our comprehensive test results confirm that for the network with load-aware nonuniform sensor node deployment, the network lifetime is much higher compared to a uniform deployment. We also show that the use of data aggregation software-defined WSNs (SDWSNs) can improve the network lifetime as compared to the data gathering networks.

Topics & Concepts

Computer scienceWireless sensor networkAsynchronous communicationSoftware deploymentComputer networkKey distribution in wireless sensor networksEnergy consumptionNode (physics)Distributed computingSoftwareWireless networkSoftware-defined networkingReal-time computingWirelessTelecommunicationsEngineeringProgramming languageElectrical engineeringOperating systemStructural engineeringEnergy Efficient Wireless Sensor NetworksEnergy Harvesting in Wireless NetworksWireless Networks and Protocols
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