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Group connectivity is one of the major research challenges in large-scale industrial wireless sensor networks (IWSNs). Critical nodes (CNs) are mainly responsible to maintain group-connectivity. This article focuses on prioritize these CNs to sleep more than other nodes in order to save their energy resulting prolong global connectivity in group-based IWSNs.
This paper addresses the signal-strength-of-arrival (SSOA) based localization problem with unknown transmit power, which is of vital importance for the rescue system in ruins scenarios. First, a semidefinite programming method is proposed to transform the nonconvex and nonlinear problem into a convex optimization problem, which presents an excellent performance even in the high interference situations...
With the recent advancement in sensing devices, large-scale industries generates a massive amount of data which are generally processed in a centralized manner. In this poster, Fog Computing paradigm is employed for the industrial applications with an aim to reduce traffic overhead leveraging storage and computing services toward edge devices.
In this poster, we consider software-defined wireless sensor networks (SDWSNs) and present a lightweight flow management to reconfigure flow entries in flow-table when link fault occurs in the data plane of SDWSNs.
In large-scale industrial wireless sensor networks (IWSNs), some nodes are likely to be critical to maintain group-connectivity. Prior studies on topology control with critical nodes (CNs) mainly focus on network connectivity inside a group. It is non-trivial to maintain group-connectivity without considering any CNs in group-based IWSNs. Sleep scheduling is one of the approaches to save residual...
Solar energy harvesting is limited in industrial wireless sensor networks (IWSNs) due to dynamic nature of ambient source and network deployment strategies. In this article, we propose a sleep scheduling scheme with solar harvesting and non-harvesting nodes to combine the advantages of energy harvesting and sleep scheduling to prolong the network lifetime.
In this paper we consider the energy-efficient resource allocation that minimizes a general cost function of average user powers for small- or medium-scale wireless sensor networks, where the simple time-division multiple-access (TDMA) is adopted as the multiple access scheme. A class of so-called ß-fair cost functions is derived to balance the tradeoff between efficiency and fairness in energy-efficient...
In this paper, we consider the energy-efficient resource allocation that minimizes a general cost function of average user powers in wireless networks. A class of so-called ??-fair cost functions is derived to balance the tradeoff between efficiency and fairness in energy-efficient designs. With these novel cost functions, optimal resource allocation schemes are developed for fading time-division...
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