Topology Control in Wireless Ad Hoc and Sensor Networks

Paolo Santi is Researcher at the Instituto di Informatica e Telematica del CNR in Pisa, Italy, a position he has held since 2001. He received the 'Laurea' Degree and the PhD in Computer Science from the University of Pisa in 1994 and 2000. respectively. During his career, he visited the School of Electrical and Computer Engineering, Georgia Institute of Technology, in 2001, and the Department of Computer Science, Carnegie Mellon University, in 2003. During his PhD Studies, Dr. Santi's research activity focused on fault-tolerant computing in multiprocessor systems. Starting from 2001, his research interests shifted to wireless ad hoc networking, with particular focus on the investigation of fundamental network properties such as connectivity, network lifetime, and mobility modeling, and on the design of energy-efficient protocols.Dr. Santi has contributed more than twenty papers in the field of wireless ad hoc and sensor networking, and has been involved in the organizational and technical committee of several conferences in the field. Dr. Santi is a member of ACM and SIGMOBILE.

• About the Author. Preface.Acknowledgments.List of Abbreviations.List of Figures.List of Tables.I: Introduction.1. Ad Hoc and Sensor Networks.1.1 The Future ofWireless Communication.1.2 Challenges.2. Modeling Ad Hoc Networks.2.1 The Wireless Channel.2.2 The Communication Graph.2.3 Modeling Energy Consumption.2.4 Mobility Models.2.5 Asymptotic Notation.3. Topology Control.3.1 Motivations for Topology Control.3.2 A Definition of Topology Control.3.3 A Taxonomy of Topology Control.3.4 Topology Control in the Protocol Stack.II: The Critical Transmitting Range.4. The CTR for Connectivity: Stationary Networks.4.1 The CTR in Dense Networks.4.2 The CTR in Sparse Networks.4.3 The CTR with Different Deployment Region and Node Distribution.4.4 Irregular Radio Coverage Area.5. The CTR for Connectivity: Mobile Networks.5.1 The CTR in RWPMobile Networks.5.2 The CTR with Bounded, Obstacle-free Mobility.6. Other Characterizations of the CTR 636.1 The CTR for k-connectivity.6.2 The CTR for Connectivity with Bernoulli Nodes.6.3 The Critical Coverage Range.III: Topology Optimization Problems.7. The Range Assignment Problem.7.1 Problem Definition.7.2 The RA Problem in One-dimensional Networks.7.3 The RA Problem in Two- and Three-dimensional Networks.7.4 The Symmetric Versions of the Problem.7.5 The Energy Cost of the Optimal Range Assignment.8. Energy-efficient Communication Topologies.8.1 Energy-efficient Unicast.8.2 Energy-efficient Broadcast.IV: Distributed Topology Control.9. Distributed Topology Control: Design Guidelines.9.1 Ideal Features of a Topology Control Protocol.9.2 The Quality of Information.9.3 Logical and Physical Node Degrees.10. Location-based Topology Control.10.1 The R&M Protocol.10.2 The LMST Protocol.11. Direction-based Topology Control.11.1 The CBTC Protocol.11.2 The DistRNG Protocol.12. Neighbor-based Topology Control.12.1 The Number of Neighbors for Connectivity.12.2 The KNeigh Protocol.12.3 The XTC Protocol.13. Dealing with Node Mobility.13.1 TC Design Guidelines with Mobility.13.2 TC in Mobile Networks: an Example.13.3 The Effect of Mobility on the CNN.13.4 Distributed TC in Mobile Networks: Existing Solutions.V: Toward an Implementation of Topology Control.14. Level-based Topology Control.14.1 Level-based TC:Motivations.14.2 The COMPOW Protocol.14.3 The CLUSTERPOW Protocol.14.4 The KNeighLev Protocol.14.5 Comparing CLUSTERPOW and KneighLev.15. Open Issues.15.1 TC for Interference.15.2 More-realistic Models.15.3 Mobility and Topology Control.15.4 Considering MultiHop Data Traffic.15.5 Implementation of TC.VI: Case Study and Appendices.16. Case Study: TC and Cooperative Routing in Ad hoc Networks.16.1 Cooperation in Ad hoc Networks.16.2 Reference Application Scenario.16.3 Modeling Routing as a Game.16.4 A Practical Interpretation of Truthfulness.16.5 Truthful Routing without TC.16.6 Truthful Routing with TC.16.7 Conclusion.A: Elements of Graph Theory.A.1 Basic Definitions.A.2 Proximity Graphs.B: Elements of Applied Probability.Bibliography.Index.