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Context-aware Geographic Routing for Sensor Networks with Routing Holes WCNC 2009 Jiaxi You, Dominik Lieckfeldt, Frank Reichenbach, and Dirk Timmermann University of Rostock, Germany Reporter: 黃黃黃 2009/5/26

Context-aware Geographic Routing for Sensor Networks with Routing Holes

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Context-aware Geographic Routing for Sensor Networks with Routing Holes. WCNC 2009 Jiaxi You, Dominik Lieckfeldt, Frank Reichenbach, and Dirk Timmermann University of Rostock, Germany. Reporter: 黃宥崴 2009/5/26. Outline. Introduction Related work Protocol design Simulation results - PowerPoint PPT Presentation

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Page 1: Context-aware Geographic Routing for Sensor Networks with Routing Holes

Context-aware Geographic Routingfor Sensor Networks with Routing

HolesWCNC 2009

Jiaxi You, Dominik Lieckfeldt, Frank Reichenbach, and Dirk Timmermann

University of Rostock, Germany

Reporter: 黃宥崴2009/5/26

Page 2: Context-aware Geographic Routing for Sensor Networks with Routing Holes

Outline

• Introduction

• Related work

• Protocol design

• Simulation results

• Conclusions

Page 3: Context-aware Geographic Routing for Sensor Networks with Routing Holes

Introduction

• Voids in deployment or node failure can cause routing holes in the network, which often cause traditional geographic routing algorithms to fail.

• The reason is the local minimum phenomenon illustrated.

Page 4: Context-aware Geographic Routing for Sensor Networks with Routing Holes

Related work

• Hole Avoiding In advance Routing protocol (HAIR)

• A node recognizes itself as a local minimum, it asks its neighbors to mark itself as a hole node.

• HAIR achieves shorter routing paths, and thus reduces energy consumption.

Page 5: Context-aware Geographic Routing for Sensor Networks with Routing Holes

Protocol design

• HOle-BYpassing routing with Context-AwareNess (HobyCan).

• construct multiple detour paths for a hole.

• introduce a threshold of the remaining energy of detour nodes, call E_THR.

Page 6: Context-aware Geographic Routing for Sensor Networks with Routing Holes

• with greedy forwarding and turns to the perimeter mode when approaching a hole.

• a predefined number of detour paths around hole(s) are constructed.

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Simulation results

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Conclusions

• The highlight of HobyCan is its ability to balance the routing load among nodes near routing holes.

• Simulation results showed that the number of detour paths constructed in the early phase has a strong impact on the performance of HobyCan.