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HEED: Hybrid Energy Efficient
Distributed Clustering
Shannon Seefeld
What is HEED
 HEED was designed to select different
cluster heads in a field according to the
amount of energy that is distributed in
relation to a neighboring node.
Goals of HEED
 Four primary goals:
 prolonging network life-time by distributing
energy consumption
 terminating the clustering process within a
constant number of iterations/steps
 minimizing control overhead
 producing well-distributed cluster heads
and compact clusters.
What is Clustering?
 We find that clustering plays a dominant
role in delaying the first node death, while
aggregation plays a dominant role in
delaying the last node death
 In each cluster one node acts as a cluster
head which is in charge of coordinating
with other cluster heads
Alternatives
 To increase energy efficiency and prolong
network lifetime we can consider intra cluster
communication cost as a secondary clustering
parameter.
 Intra clustering communication involves
communicating with other cluster heads
 Cost is a function of cluster properties and
whether power levels are permissible for
transmission within a cluster
Advantages
 HEED distribution of energy extends the lifetime
of the nodes within the network thus stabilizing
the neighboring node.
 Does not require special node capabilities, such as
location-awareness
 Does not make assumptions about node
distribution
 Operates correctly even when nodes are not
synchronized.
Advantages Cont.
 Creates well distributed clusters
 Terminates in constant time
 Requires only local communication
 Reduces energy load
 Extends network lifetime
Advantages Cont.
 The advantages of HEED are that nodes
only require local (neighborhood)
information to form the clusters
 the algorithm terminates in O(1) iterations
 the algorithm guarantees that every sensors
is part of just one cluster, and the cluster
heads are well-distributed.
Disadvantages
 the random selection of the cluster
heads,may cause higher communication
overhead for:
 the ordinary member nodes in communicating
with their corresponding cluster head
 cluster heads in establishing the communication
among them, or
 between a cluster head and a base station.
 the periodic cluster head rotation or election
needs extra energy to rebuild clusters.
WSN limitations
 Communication
 Bandwidth is limited and must be shared
among all the nodes in the sensor network
 Spatial reuse essential
 Efficient local use of bandwidth needed
WSN Limitations Cont.
 Sensor energy
 Each sensor node has limited energy supply
 Nodes may not be rechargeable
 Eventually nodes may be self-powered
 Energy consumption in sensing, data processing,
and communication
 Communication often the most energy-intensive
 For some sensors, sensing may also be energy-
intensive
 Must use energy-conserving protocols
Bibliography
 http://www.sigmobile.org/mobicom/2003/p
osters/14-Younis.pdf
 http://www.cs.purdue.edu/homes/fahmy/pa
pers/heed.pdf
 http://www.ece.rochester.edu/courses/
ECE245/lectures/Lecture22-23.pdf

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HEED: Hybrid Energy Efficient Distributed Clustering Part 1

  • 1. HEED: Hybrid Energy Efficient Distributed Clustering Shannon Seefeld
  • 2. What is HEED  HEED was designed to select different cluster heads in a field according to the amount of energy that is distributed in relation to a neighboring node.
  • 3. Goals of HEED  Four primary goals:  prolonging network life-time by distributing energy consumption  terminating the clustering process within a constant number of iterations/steps  minimizing control overhead  producing well-distributed cluster heads and compact clusters.
  • 4. What is Clustering?  We find that clustering plays a dominant role in delaying the first node death, while aggregation plays a dominant role in delaying the last node death  In each cluster one node acts as a cluster head which is in charge of coordinating with other cluster heads
  • 5. Alternatives  To increase energy efficiency and prolong network lifetime we can consider intra cluster communication cost as a secondary clustering parameter.  Intra clustering communication involves communicating with other cluster heads  Cost is a function of cluster properties and whether power levels are permissible for transmission within a cluster
  • 6. Advantages  HEED distribution of energy extends the lifetime of the nodes within the network thus stabilizing the neighboring node.  Does not require special node capabilities, such as location-awareness  Does not make assumptions about node distribution  Operates correctly even when nodes are not synchronized.
  • 7. Advantages Cont.  Creates well distributed clusters  Terminates in constant time  Requires only local communication  Reduces energy load  Extends network lifetime
  • 8. Advantages Cont.  The advantages of HEED are that nodes only require local (neighborhood) information to form the clusters  the algorithm terminates in O(1) iterations  the algorithm guarantees that every sensors is part of just one cluster, and the cluster heads are well-distributed.
  • 9. Disadvantages  the random selection of the cluster heads,may cause higher communication overhead for:  the ordinary member nodes in communicating with their corresponding cluster head  cluster heads in establishing the communication among them, or  between a cluster head and a base station.  the periodic cluster head rotation or election needs extra energy to rebuild clusters.
  • 10. WSN limitations  Communication  Bandwidth is limited and must be shared among all the nodes in the sensor network  Spatial reuse essential  Efficient local use of bandwidth needed
  • 11. WSN Limitations Cont.  Sensor energy  Each sensor node has limited energy supply  Nodes may not be rechargeable  Eventually nodes may be self-powered  Energy consumption in sensing, data processing, and communication  Communication often the most energy-intensive  For some sensors, sensing may also be energy- intensive  Must use energy-conserving protocols