Upload
abner-preston
View
212
Download
0
Tags:
Embed Size (px)
Citation preview
On Renewable Sensor Networks with
WirelessEnergy Transfer
IEEE INFOCOM 2011
Yi Shi, Liguang Xie, Y. Thomas Hou, Hanif D. Sherali
OUTLINE
IntroductionGoalNetwork ModelOverviewProblem DescriptionAlgorithmSimulationConclusions
Introduction
Wireless sensor networks (WSNs) today are mainly powered by batteries.
limited battery energy WSN can only remain operational for a limited amount of time.
To prolong the network lifetime, there have been a flourish of research efforts in the last decade. energy-harvesting techniques
Introduction
Wireless energy transfer technology exploiting a novel technique called magnetic resonance
[11] A. Kurs, A. Karalis, R. Moffatt, J.D. Joannopoulos, P. Fisher, and M. Soljacic, “Wireless power transfer via trongly coupled magnetic resonances,” Science, vol. 317, no. 5834, pp. 83–86, 2007.
◎ wireless energy transfer : the ability to transfer electric energy from one storage device to another without any plugs or wires
Goal
Employing a mobile vehicle carrying a battery charging station periodically visit each sensor node and charge it wirelessly
can remove the lifetime performance bottleneck from a battery-powered WSN
Network Model
sensor node distributed over a two-dimensional area has a battery capacity of Emax and is fully charged initially
minimum energy Emin
mobile wireless charging vehicle(WCM) base station(B)service stationmulti-hop data routing
Overview
Service station
Base station
Sensor node
Mobile WCM
i
Overview
Service station
Base station
Sensor node
Mobile WCM
vac
resting period vacation time
Problem Description
multi-hop data routing flow balance constraint at each sensor node i
• fij : the flow rate from sensor node i to sensor node j• fiB : the flow rate from sensor node i to the base station B
• Each sensor node i generates sensing data with a rate Ri of (in b/s)
Problem Description
Each sensor node consumes energy for data transmission and reception.
the rate of energy consumption for receiving a unitof data rate
Cij (or CiB) is the rate of energy consumption for transmitting a unit of data rate from node i to node j (or the base station B).
N nodesensor at raten consumptioenergy the i
Problem Formulation
maximize the percentage of time in a cycle that the WCV can take vacation.
max
s.t.
RENEWABLE CYCLE CONSTRUCTION
RENEWABLE CYCLE CONSTRUCTION
RENEWABLE CYCLE CONSTRUCTION
CONSTRUCTION OF INITIAL TRANSIENT CYCLE
Initial transient cycle must meet the following criterion :
] [0, for )( (ii)
)( and (0) (i)
min
max
t Ete
EeEe
i
iii
CONSTRUCTION OF INITIAL TRANSIENT CYCLE
ˆai is the arrival time of the WCV at node i in the initial transient cycle.
Simulation
Number of nodes : 50Data rate from each node : randomly generated within [1,10]kbps Base station location : (500, 500) (m)V=5 (m/s)Emax=10.8KJ
Emin=540JU=5W
Simulation
Simulation
An optimal traveling path for the 50-node sensor network. Only counter clockwise traveling direction is shown.
[18] Concorde TSP Solver, http://www.tsp.gatech.edu/concorde/.
Simulation
Simulation
Property 1: In an optimal solution, there exists at least one node in the network with its battery energy dropping to Emin when the WCV arrives at this node.
Conclusions
This paper exploits recent breakthrough in wireless energy transfer technology for a WSN.
Exploiting a mobile charging vehicle periodically travels inside the network and charges each sensor node wirelessly without any plugs or wires.
we showed that a sensor network operating under our solution can indeed remain operational with unlimited lifetime.