Ad-Hoc Network Cluster Head Selection and Topology Management
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Solution Overview
Problem
Mobile ad-hoc networks face challenges in dynamically adapting to changing topologies and providing efficient communication services in environments without infrastructure, such as during military operations or rescue missions, due to the need for continuous adaptation to device mobility and varying network conditions.
Innovation Solution
A method and system for forming and managing ad-hoc mobile wireless network clusters, where each node with a wireless transceiver and application server continuously acquires and shares topological data to designate a cluster head, which selects nodes to provide services, optimizing connectivity, load balancing, and bandwidth usage, and enabling dynamic anchor selection and conflict resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If nodes continuously acquire and transmit topological data to adapt to changing network topologies, then adaptability improves, but communication overhead and energy consumption increase
Solution Approach 1:
The system dynamically adjusts the frequency and scope of topological data acquisition and transmission based on network conditions. Nodes transition between active and dormant states, with data collection intensity varying according to topology change rate and network stability, thereby adapting energy consumption to actual adaptability needs
Solution Approach 2:
The patent changes key parameters such as data transmission intervals, collection scope, and node activity states based on network conditions. When topology changes are detected, the system increases data acquisition frequency; during stable periods, it reduces transmission overhead, thus balancing adaptability with energy conservation through parameter optimization
2Productivity
If a cluster head is designated based on topological data to centralize service provision, then network management efficiency improves, but single point of failure risk increases
Solution Approach 1:
The patent introduces intermediary nodes that assist the cluster head in service provision and data management. These intermediary nodes distribute part of the cluster head's workload and can take over critical functions if the cluster head fails, thus maintaining management efficiency while reducing single point of failure risk through a distributed intermediary layer
Solution Approach 2:
The system pre-designates backup cluster heads and maintains redundant data paths before failures occur. When the primary cluster head becomes unavailable, the backup is immediately activated, cushioning against the single point of failure risk while preserving continuous network management efficiency through pre-established failover mechanisms
3Area of stationary object
If nodes in vehicles are used to provide communication services in areas without infrastructure, then coverage area expands, but network stability deteriorates due to high mobility
Solution Approach 1:
The patent implements dynamic cluster formation and dissolution mechanisms that adapt to vehicle mobility. Nodes automatically join and leave clusters based on proximity and connectivity, with the system continuously reconfiguring topology to maintain stable communication despite high mobility, thus preserving network stability while expanding coverage through dynamic adaptation
Solution Approach 2:
The system adjusts key parameters such as cluster size, transmission power, and data refresh rates based on vehicle speed and mobility patterns. In high-mobility scenarios, it increases transmission frequency and reduces cluster size to maintain stability; in stable scenarios, it expands coverage by enlarging clusters, thus balancing coverage area with network stability through parameter optimization
Data Source
AI summary
A method comprising: forming a cluster comprising at least two network nodes, wherein each of said network nodes comprises at least a wireless transceiver and at least one application server; continuously acquiring, by each of said network nodes, cluster topological data from at least some of said other network nodes; continuously transmitting, by each of said network nodes, to at least some of said other network nodes, said acquired topological data; designating, based at least in part on said transmitted topological data, a cluster head; and selecting, by said cluster head, at least one of said other network nodes in said cluster to provide one or more services associated with its respective at least one application server, wherein said one or more services are provided to all other network nodes.