Aggregator Node Election Using Homomorphic Encryption
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Solution Overview
Problem
In wireless sensor networks, the existing methods for electing aggregator nodes are vulnerable to manipulation by sensor nodes, leading to unfair and insecure election processes due to limited energy resources and potential malicious behavior, which shortens the network's lifetime and compromises data integrity.
Innovation Solution
A method that establishes pairwise secret keys between the current aggregator node and sensor nodes using Merkle's Puzzle, followed by a fully randomized election process where encrypted random numbers are summed homomorphically to determine a new aggregator node, ensuring all nodes contribute equally and preventing cheating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sensor nodes use traditional aggregator election methods, then the election process is simple, but the process is vulnerable to manipulation and unfairness
Solution Approach 1:
Pairwise secret keys are established between the current aggregator node and each sensor node before the election process begins. This preliminary cryptographic setup enables secure randomized voting without requiring complex real-time verification mechanisms during the election itself.
Solution Approach 2:
Encrypted random numbers serve as intermediaries in the voting process. Each node's vote is encoded as an encrypted random number, and the aggregation of these encrypted values determines the winner without revealing individual votes or requiring direct trust between nodes.
2Use of energy by moving object
If sensor nodes with higher energy are preferred for aggregation, then energy efficiency is improved, but malicious nodes may manipulate the election to become aggregators
Solution Approach 1:
Secret keys are pre-established between nodes before the election, enabling secure randomized voting that prevents manipulation based on energy levels or malicious intent. The cryptographic setup ensures that no node can predict or control the election outcome in advance.
Solution Approach 2:
The election mechanism changes from energy-based selection to cryptography-based randomized selection. By transforming the selection criterion from a physical parameter (energy level) to a cryptographic parameter (encrypted random number aggregation), the system prevents manipulation while maintaining energy efficiency through fair rotation.
3Ease of operation
If all sensor data is transmitted directly to the sink node, then data collection is simple, but energy consumption increases linearly with data amount
Solution Approach 1:
The network is segmented into aggregator nodes and regular sensor nodes. Aggregator nodes collect and process data from multiple sensor nodes, then forward aggregated results to the sink. This segmentation reduces total transmission distance and data volume, lowering energy consumption while maintaining operational simplicity.
4Device complexity
If aggregator nodes are elected for fixed epochs, then network organization is simple, but energy resources become unbalanced over time
Solution Approach 1:
The aggregator election transitions from static, predetermined selection to dynamic, randomized selection based on cryptographic voting. This dynamic approach ensures that different nodes become aggregators in different epochs based on fair random selection rather than fixed roles, balancing energy consumption across the network over time.
Data Source
AI summary
A method for electing aggregator nodes in a network, wherein the network includes a plurality of sensor nodes to measure data, and at least one of the sensor nodes functioning as aggregator node to aggregate sensored data obtained by at least a subset of the sensor nodes, the network further including at least one sink node to collect data aggregated by the aggregator nodes, the method including: establishing pairwise secret keys between a current aggregator node and each sensor node of the subset of sensor nodes; at each of the sensor nodes of the subset, choosing a random number and encrypting the random number using the established key; providing a communication chain between the sensor nodes of the subset and summing the encrypted random numbers of all sensor nodes of the subset; and determining a new aggregator node on the basis of the resulting sum according to a predefined calculation scheme.