Wireless sensor with data and Energy Packets

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Title: Wireless sensor with data and Energy Packets
Authors: Kadioglu, YM
Gelenbe, E
Item Type: Conference Paper
Abstract: This paper develops a mathematical model to determine the balance of energy input and data sensing and transmission in a wireless sensing node. Since the node acquires energy through harvesting from an intermittent source, and sensing is also carried out intermittently, the node is modelled with random arrivals of both energy and data. A buffer in the node stores data packets while energy is stored in a battery acting as an energy buffer. The approach uses the “Energy Packet Network” paradigm so that both energy and data packets can be modelled as discrete quantities. We assume that for each data packet, the sensor consumes K e energy packets for node electronics including sensing, processing, and storing and K t energy packets for transmission. We model the node's energy and data flow by a two-dimensional random walk which represents the backlog of data and energy packets. We then simplify the model using companion matrices and matrix algebra techniques that allow us to obtain a closed-form solution for the stationary probability distribution for the random walk which allows us to compute important performance measures, including the energy consumed by the node, and its throughput in data packets transmitted as a function of the amount of power that it receives. The model also allows us to evaluate the effect of ambient noise and the needs for data retransmissions, including for the case where M sensors operate in proximity and create interference for each other.
Issue Date: 3-Jul-2017
Date of Acceptance: 21-May-2017
URI: http://hdl.handle.net/10044/1/69911
DOI: https://dx.doi.org/10.1109/ICCW.2017.7962718
ISSN: 2474-9133
Publisher: IEEE
Start Page: 564
End Page: 569
Journal / Book Title: 2017 IEEE International Conference on Communications Workshops (ICC Workshops)
Copyright Statement: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
EU H2020 Framework Programme for Research and Innovation
Funder's Grant Number: EP/K017330/1
Conference Name: 2017 IEEE International Conference on Communications Workshops (ICC Workshops)
Keywords: Science & Technology
Engineering, Electrical & Electronic
Wireless Sensors
Energy Harvesting
Energy Packet Networks
Data Packets
Random Walk
Markov Chains
Companion Matrices
Notes: keywords: energy harvesting;matrix algebra;statistical distributions;telecommunication power management;wireless sensor networks;2D random walk;ambient noise;companion matrices;data flow;data packets;data retransmissions;data sensing;energy buffer;energy packet network;matrix algebra techniques;node electronics;stationary probability distribution;wireless sensing node;wireless sensor;Data models;Markov processes;Mathematical model;Matrices;Sensors;Wireless communication;Wireless sensor networks;Companion Matrices;Data Packets;Energy Harvesting;Energy Packet Networks;Markov Chains;Random Walk;Wireless Sensors
Start Date: 2017-05-21
Finish Date: 2017-05-25
Conference Place: Paris, France
Appears in Collections:Electrical and Electronic Engineering

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