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TOPOLOGY DISCOVERY IN SENSOR NETWORKS

TOPOLOGY DISCOVERY IN SENSOR NETWORKS. Budhaditya Deb, Sudeept Bhatnagar Badri Nath Department of Computer Science, Rutgers University, May 2001. WHAT ARE SENSOR NETWORKS ?. Distributed and highly complex network systems Hundreds of tiny sensor nodes Behavior is highly unpredictable

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TOPOLOGY DISCOVERY IN SENSOR NETWORKS

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  1. TOPOLOGY DISCOVERY IN SENSOR NETWORKS Budhaditya Deb, Sudeept Bhatnagar Badri Nath Department of Computer Science, Rutgers University, May 2001.

  2. WHAT ARE SENSOR NETWORKS ? • Distributed and highly complex network systems • Hundreds of tiny sensor nodes • Behavior is highly unpredictable • Randomness in individual node state and network structure. • Used for automated information gathering.

  3. CONSTRAINTS FACED BY NODES IN SENSOR NETWORKS • Sensor network nodes are resource constrained • Energy is limited by battery power • Form factor limits the amount of resources that can be put in a node • Protocols designed for sensor networks need to be highly efficient and optimized in terms of resources they consume.

  4. The TopDisc Algorithm(Overview) • Because of the above reasons, regular SNMP functionalities cannot be used over wireless sensor networks • Paper describes a TopDisc algorithm which is a topology discovery algorithm used for • Data dissemination • Data aggregation • Duty cycle assignments • Network State Retrieval

  5. Overview of TopDisc • A set of distinguished nodes is obtained. • These nodes only reply to the topology discovery probes. • These nodes form clusters comprised of the nodes in their neighborhood. • These clusters form a tree structure called TreC, rooted at the monitoring node.

  6. Models for sensor networks Models depict the current state of the network. Some useful models would be : • Network Topology • Energy Map • Usage Pattern • Non-deterministic Models

  7. Network Management Functions The models described above could be used for many network management functions like : • Deployment of sensors • Setting Network Operating Parameters • Monitor Network States using Network Models • Network Maintenance • Predict Future Network States • Design of Sensor Networks

  8. TopDisc Algorithm The TopDisc Algorithm can be divided into three stages of execution : • A monitoring node requiring the topology of the network initiates a "topology discovery request". • This request diverges throughout the network reaching all active nodes. • A response action is set up which converges back to the initiating node with the topology information.

  9. Topology Discovery Three methods can be used for topology discovery • Direct Response • Aggregated Response • Clustered Response

  10. TopDisc Algorithm Two different approaches are used to select cluster heads : • Three color approach • Four color approach

  11. The three color approach The three different colors used and what they mean • White: Yet undiscovered node • Black: Cluster head node • Grey: Node which is covered by black node

  12. The Three Color Approach • Initiate topology discovery Black

  13. The Three Color Approach(contd)

  14. The Four Color Approach The four different colors used and what they mean : • White: Yet undiscovered node. • Black: Cluster head node • Grey: neighbor of a black node. • Dark Grey: Discovered node, which currently is not covered by any neighboring black node.

  15. The Four Color Approach (Contd) • Initiate topology discovery  Black • Grey or black  IGNORE Requests

  16. Four color approach

  17. Four color (Example)

  18. TopDisc Response Mechanism Each node has the following information at the end of the topology discovery period: • Cluster identification  Black node • Grey node knows its cluster id. • Each node knows its parent black node. • Each black node knows the default node to which it should forward packets to reach the parent black node. • All nodes have their neighborhood information.

  19. TopDisc Response Using the above information, the steps for TopDisc Response are described as follows. • When a node becomes black  starts timer to receive information from its children • Aggregates information forwards to its parent • All forwarding nodes in between black nodes may also add their adjacency lists to the list from black nodes.

  20. Applications 1. Retrieving Network State Connectivity Map Reachability Map Energy Model Usage Model 2. Data Dissemination and Aggregation 3. Duty Cycle Assignment

  21. Applications(contd) 1. Assignment with location information 2. Assignment without location information

  22. Conclusion Further work and research on TopDisc to come up with sNMP (Sensor Network Management Protocol).

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