On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks

A key problem in Rechargeable Wireless Sensor Networks (WSNs) is determining the maximum amount of data that can be collected by a sink over a given time period. This maximum is constrained by link capacity and critically, by the available energy at each node. In this paper, we consider a novel appr...

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Main Authors: He, T., Chin, K., Soh, Sie Teng
Other Authors: Yu-Chee Tseng
Format: Conference Paper
Published: IEEE 2015
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/29235
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author He, T.
Chin, K.
Soh, Sie Teng
author2 Yu-Chee Tseng
author_facet Yu-Chee Tseng
He, T.
Chin, K.
Soh, Sie Teng
author_sort He, T.
building Curtin Institutional Repository
collection Online Access
description A key problem in Rechargeable Wireless Sensor Networks (WSNs) is determining the maximum amount of data that can be collected by a sink over a given time period. This maximum is constrained by link capacity and critically, by the available energy at each node. In this paper, we consider a novel approach to increase the maximum flow rate by exploiting recent advances in Wireless Power Transfer (WPT). Specifically, we deploy a finite number of WPT capable rovers next to bottleneck sensor nodes with the aim to increase the max flow rate of a WSN. We formulate a Mixed Integer Linear Programming (MILP) to determine the routing and the set of sensor nodes that are to be “upgraded” in order to achieve the maximum flow rate. We also outline a novel heuristic, called Path, to place rovers in large scale WSNs. Our results show it is able to attain on average 85.9% of the optimal flow rate.
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spelling curtin-20.500.11937-292352023-02-27T07:34:27Z On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks He, T. Chin, K. Soh, Sie Teng Yu-Chee Tseng Hongyi WU Lawrence Wong Network upgrade Mixed integer linear programming wireless sensor networks wireless power transfer A key problem in Rechargeable Wireless Sensor Networks (WSNs) is determining the maximum amount of data that can be collected by a sink over a given time period. This maximum is constrained by link capacity and critically, by the available energy at each node. In this paper, we consider a novel approach to increase the maximum flow rate by exploiting recent advances in Wireless Power Transfer (WPT). Specifically, we deploy a finite number of WPT capable rovers next to bottleneck sensor nodes with the aim to increase the max flow rate of a WSN. We formulate a Mixed Integer Linear Programming (MILP) to determine the routing and the set of sensor nodes that are to be “upgraded” in order to achieve the maximum flow rate. We also outline a novel heuristic, called Path, to place rovers in large scale WSNs. Our results show it is able to attain on average 85.9% of the optimal flow rate. 2015 Conference Paper http://hdl.handle.net/20.500.11937/29235 10.1109/ISSNIP.2015.7106916 IEEE restricted
spellingShingle Network upgrade
Mixed integer linear programming
wireless sensor networks
wireless power transfer
He, T.
Chin, K.
Soh, Sie Teng
On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks
title On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks
title_full On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks
title_fullStr On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks
title_full_unstemmed On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks
title_short On Using Wireless Power Transfer to Increase the Max Flow of Rechargeable Wireless Sensor Networks
title_sort on using wireless power transfer to increase the max flow of rechargeable wireless sensor networks
topic Network upgrade
Mixed integer linear programming
wireless sensor networks
wireless power transfer
url http://hdl.handle.net/20.500.11937/29235