Computing 2 Hop Neighborhoods in Ad Hoc Wireless Networks 1st edition by Gruia Calinescu ISBN 3540202608 9783540202608

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ISBN 10:       3540202608
ISBN 13: 978-3540202608
Author:       Gruia Calinescu  
 

We present efficient distributed algorithms for computing 2-hop neighborhoods in Ad Hoc Wireless Networks. The knowledge of the 2-hop neighborhood is assumed in many protocols and algorithms for routing, clustering, and distributed channel assignment, but no efficient distributed algorithms for computing the 2-hop neighborhoods were previously published.

The problem is nontrivial, as the graphs induced by ad-hoc wireless networks can be dense. We employ the broadcast nature of the wireless networks to obtain a distributed algorithm in which every node gains knowledge of its 2-hop neighborhood using a total of O(n) messages, where n is the total number of nodes in the network, and each message has O(logn) bits, which we assume is enough to encode the ID and the geographic position of a node. Our algorithm operates in an asynchronous environment, and makes use of the geographic position of the nodes.

A more complicated algorithm achieves the same communication bounds when geographical positions are not available, but nodes are capable of evaluating the distance to neighboring nodes or the angle of signal arrival. We also discuss updating the knowledge of 2-hop neighborhoods when nodes join or leave the network.

Computing 2-Hop Neighborhoods in Ad Hoc Wireless Networks 1st Table of contents:

• Introduction

  • 1.1 Overview of Ad Hoc Wireless Networks
  • 1.2 Importance of 2-Hop Neighborhood Computation
  • 1.3 Applications of 2-Hop Neighborhoods in Ad Hoc Networks
  • 1.4 Objectives and Scope of the Paper
  • 1.5 Structure of the Paper

• Background and Related Work

  • 2.1 Fundamentals of Ad Hoc Wireless Networks
  • 2.2 Neighbor Discovery in Wireless Networks
  • 2.3 2-Hop Neighborhood Concept and Its Significance
  • 2.4 Existing Approaches for Neighborhood Computation
  • 2.5 Challenges in 2-Hop Neighborhood Computation

• Problem Definition and Motivation

  • 3.1 Definition of 2-Hop Neighborhood in Ad Hoc Networks
  • 3.2 Key Challenges in Computing 2-Hop Neighborhoods
  • 3.3 Importance of Efficient Computation for Scalability
  • 3.4 Use Cases and Practical Applications
  • 3.5 Motivation for the Proposed Solution

• 2-Hop Neighborhood Computation Techniques

  • 4.1 Basic Approaches for Neighbor Discovery
  • 4.2 Direct vs. Indirect 2-Hop Neighborhood Computation
  • 4.3 Algorithms for Determining 2-Hop Neighborhoods
  • 4.4 Optimizing Computation Using Network Topology
  • 4.5 Handling Node Mobility and Dynamic Topology
  • 4.6 Energy and Time Efficiency in 2-Hop Computation

• Protocol Design for 2-Hop Neighborhood Computation

  • 5.1 Overview of the Protocol Design
  • 5.2 Initialization and Neighbor Discovery
  • 5.3 Message Passing and Information Propagation
  • 5.4 Handling Node Failures and Network Partitioning
  • 5.5 Reliability and Robustness Considerations
  • 5.6 Integration with Higher Layer Protocols (e.g., Routing)

• Performance Evaluation

  • 6.1 Metrics for Evaluating 2-Hop Neighborhood Computation
  • 6.2 Simulation Setup and Test Scenarios
  • 6.3 Comparative Analysis of Algorithms
  • 6.4 Evaluation of Time Complexity and Network Overhead
  • 6.5 Scalability and Network Size Considerations
  • 6.6 Energy Consumption and Efficiency
  • 6.7 Results and Observations

• Applications of 2-Hop Neighborhoods

  • 7.1 Routing Protocols Using 2-Hop Neighborhood Information
  • 7.2 Topology Control and Optimization
  • 7.3 Localization and Positioning in Ad Hoc Networks
  • 7.4 Neighbor Aware Clustering and Network Organization
  • 7.5 Mobility Management in Dynamic Networks

• Challenges and Future Directions

  • 8.1 Challenges in Dynamic and Large-Scale Networks
  • 8.2 Real-Time Computation and Low-Latency Requirements
  • 8.3 Handling Mobility and Node Failures in 2-Hop Computation
  • 8.4 Future Research Directions in Ad Hoc Networks
  • 8.5 Integration of Machine Learning and AI for Improved Computation

• Conclusion

  • 9.1 Summary of Contributions
  • 9.2 Impact of Efficient 2-Hop Neighborhood Computation
  • 9.3 Final Remarks on the Future of Ad Hoc Wireless Networks

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