a low-latency and energy-efficient algorithm for convergecast in wireless sensor networks authors...
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A Low-Latency and Energy-Efficient Algorithm for
Convergecast in Wireless Sensor Networks
Authors
Sarma Upadhyayula, Valliappan Annamalai, Sandeep Gupta
Presented by
Bin Wang
Arizona State University
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Presentation Flow
Introduction Problem Description System Model Algorithm Results Conclusions and Future Work References
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Introduction
Wireless Sensor Networks (WSN) – long life expectancy
Power Anemic Communication consumes maximum energy Data aggregation (convergecast) is a frequent
operation in WSN – important to minimize its energy consumption
Prior Work: PEGASIS [Step02], LEACH[Wendi00], CCTCCA[Valli03]
Typically, convergecast follows broadcast – broadcast tree for convergecast. [Bhas02]
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Introduction Contd...
Prior work concentrate on energy efficiency alone.
We have dual objective – Energy-Efficiency and Low-Latency
Conventional approach not necessarily the best approach
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Problem Description
n nodes in the network Data from all the nodes to be collected at a
central node Single Hop or Multi-Hop communication Energy consumed for communication is
proportional to distance ( , between 2 and 4)[Wendi00]
Objective # 1: Find a route connecting all nodes to central node consuming minimum energy.
Objective # 2: Minimum latency
r
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System Model
Assumptions Nodes are static and clocks are synchronized Every node has only one transceiver A node can transmit or receive at a time but
not both Intermediate nodes concatenate the data
they receive during upstream transmission Intermediate nodes wait until it receives data
from all the nodes in whose path it lies.
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System Model
Energy Model [Wendi00] total i
i V
i Tx Rx
Tx elec amp
Rx elec
E E
E E E
E E k k r
E E k
elecE
amp is the electrical energy required on the circuit of transceiver is the amplification energy required to transmit a unit of data over unit distance k is the size of the data packet transmitted by a noder is the distance between communicating nodes
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System Model
Latency Model [Valli03]
Let be time taken to transmit longest data packet Latency is the total time required to transmit data from all
the nodes to the central node
S
1C 2C nC
1 2max{ , ,..., }nD d d d
DT
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System Model
Latency Model Balanced trees increases possibility of
multiple simultaneous transmissions : number of children per node
where is a positive integer If, due to the rule, a node will be left out of
the tree – overlook the rule.
rule 2
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Algorithm (CCA)
Rationale for Tree Construction Broadcast trees may not be suitable for
convergecast
Broadcast ConvergecastSame data packet is transmitted to all nodes
Different data packets are collected
Latency depends on longest tree path
Latency depends on # of parallel transmissions
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Tree Construction Algorithm
Constructs tree following greedy approach A set of nodes chooses closest neighbors as its
children – subject to This process is followed iteratively until all the
nodes in the network join the tree
rule
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Tree Construction Algorithm
S
c d
e f
g
1
2 3
3
3
Network Tree
S
c d
e f
g
1
2 3
3
3
3
1.4
2.2
2
1
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Channel Allocation Algorithm
A fixed number of CDMA codes are given Each node is assigned a triplet (Transmission
Code, Reception Code, Transmission Time Slot) Reception code of a node and Transmission
code of all its children are same A node uses a time slot and a code for
transmission if Its parent is receiving using same code Choosing the code and time slot will avoid any
collisions with all of its neighbors
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Channel Allocation Algorithm
S
c d
e f
g
1
2 3
3
3
3
1.4
2.2
2
1
Network
S
c d
e f
g
1
2 3
3
3
(1, 1,1) (1, 1,2)
(2, 1,1)
(1,2,2)(1,1,3)
(Transmission Code, Reception Code, Transmission Time Slot)
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Results
Energy for Convergecast ( = 3)
[Valli03] and [CCA] consumes almost same amount of energy for convergecast
[CCA] gains upto 8% over [Imrich87] for network of size >150 nodes
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Results
Latency for Convergecast ( = 3)
[CCA] is almost 4 times faster than [Valli03] and 2 times faster than [Imrich87]
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Conclusions and Future Work
Proposed a tree construction and channel allocation algorithm for convergecast satisfying two objectives
Showed that broadcast trees are not efficient for convergecast
The proposed work should be studied for distributed manner
Cluster based convergecast can be studied in future work
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References
[Valli03] V. Annamalai., S.K.S. Gupta and L. Schwiebert “On Tree-Based Convergecasting in Wireless Sensor Networks”. IEEE Wireless Communications and Networking Conference 2003, New Orleans 2003.
[Imrich87] I. Chalmatac. and S. Kutten “Tree-Based Broadcasting in Multihop Radio Networks”. IEEE Transactions on Computers Vol. C-36, No. 10, Oct 1987.
[Wendi00] W. R. Heinzelman, A. Chandrakasan and H. Balakrishnan “Energy-Efficient Communication Protocol for Wireless Micro Sensor Networks”. Proceedingsof the Hawaii International Conference on System Science, Jan 2000.
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Reference
[Step02] S. Lindsey, C. Raghavendra, K. M. Sivalingam “Data Gathering Algorithms in Sensor Networks Using Energy Metrics”. IEEE Transactions on Parallel and Distributed Systems, Vol. 13, No. 9, Sept 2002.
[Bhas02] B. Krishnamachari, D. Estrin and S. Wicker “Impact of Data Aggregation in Wireless Sensor Networks”. International Workshop on Distributed Event-Based Systems (DEBS, ‘02) Vienna, Austria, July 2002.