Presentation is loading. Please wait.

Presentation is loading. Please wait.

Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department.

Similar presentations


Presentation on theme: "Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department."— Presentation transcript:

1 Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department of Electrical Engineering University of Texas at Arlington

2 Globecom 2004 Outline Introduction to Cluster-based Sensor Networks LEACH Protocol Review Problem Formulation Expellant Self-Organization Scheme Simulation Conclusion

3 Cluster-based Sensor networks(1/2) Homogeneous versus Heterogeneous Single hop versus Multi-hop BS Advantage: Robust to node failures. Drawbacks: (1)High load on cluster head (2)The hardware has to support (a) long range transmissions (b) complex data computations (c) co-ordination of MAC (d) routing within a cluster. Advantage: Sensor nodes only requires simple hardware support. Drawbacks: (1)Less robust to node failure (2)Sensors far from cluster head have highest energy expenditure (3)Uniform clustering has to be considered. Single hop homogeneous networks Single hop heterogeneous networks BS

4 Cluster-based Sensor networks(2/2) BS Multi-hop homogeneous networksMulti-hop heterogeneous networks BS  Sensors near cluster head have highest energy expenditure Distance from cluster head Energy Single hop Multi hop [ Infocom04, Globecom04 ] [ 2 * Globecom04 ]

5 Globecom 2004 LEACH Protocol 1. Single hop homogeneous networks 2. Random cluster head rotation 3. Perfect data correlation model – All individual packets from members of the same cluster can be combined into a single representative packet.

6 LEACH Protocol In LEACH, each node i elects itself to be a head at the beginning of round r+1 with probability P i (t). (1) (a) C i (t) is the indicator function determining whether or not node i has been a head in the most recent (r mod ( N/c )) rounds. (b) c is the desired number of clusters

7 Globecom 2004 (2) E i (t) is the current energy of node i

8 Problem Formulation 1. N in (1) and E total in (2) are global information 2. Too few or too many cluster heads [  ][  ] 3. Non-uniform distribution of cluster heads

9 Random election (1) Suppose (2) All nodes have equal amount of energy, if N nodes want to elect c heads, then the self-electing probability for each node is [back]

10 Globecom 2004 Expellant Self-Organization Scheme Contribution: Turn the question about “how many clusters should the nodes be partitioned? “ into “What is the appropriate cluster size?”

11 [Example]

12 Expellant Self-Organization Scheme Example Step 1: Each node broadcasts vital information (energy, location,…etc) at cluster radius R c (R c is a predetermined system parameter) RcRc Step 2: Each node counts its neighbors and broadcasts the number of its neighbors at cluster radius R c 2 1 2 3 1 1 0 N is the set of neighbors B(i) is the number of neighbors of the ith neighbor r = 0.8 in this paper Step 3: Each node decides to become cluster head according to its potential and broadcast its claim ( Using random back-off to avoid collision) Potential:

13 Globecom 2004 Expellant Self-Organization Scheme Step 4: Nodes sends “Joint” message to join the nearest cluster head 2 1 2 3 1 1 0 Step 5: Nodes that are outside the neighborhood of existing cluster head forces itself to be a cluster head “Joint” [back]

14 Globecom 2004 Simulation 100 nodes Each has 2J initial energy Evenly distributed in a circular region with diameter 100m Base station located at (125m, 0)

15 Radio Energy Dissipation Model

16 Optimal c (1/2)

17 Optimal c (2/2)

18 Globecom 2004 ESO versus LEACH (1/2)

19 Globecom 2004 ESO versus LEACH (2/2)


Download ppt "Globecom 2004 Energy-Efficient Self-Organization for Wireless Sensor Networks: A Fully Distributed approach Liang Zhao, Xiang Hong, Qilian Liang Department."

Similar presentations


Ads by Google