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A Deployment Strategy for Multiple Types of Requirements in Wireless Sensor Networks
IEEE Transactions on Cybernetics
|September 22, 2015
Summary
This study introduces a novel wireless sensor network deployment strategy with three algorithms optimizing cost, reducing transmission delay, and extending network lifetime. These methods improve efficiency for diverse application requirements.
Area of Science:
- Computer Science
- Electrical Engineering
- Network Engineering
Background:
- Node deployment is critical in wireless sensor networks (WSNs).
- Meeting diverse application requirements for WSN deployment is challenging.
- Existing methods often lack efficiency in cost, delay, or network lifetime.
Purpose of the Study:
- To propose a multi-objective deployment strategy for WSNs.
- To address deterministic and grid-based deployment challenges.
- To optimize deployment for cost, transmission delay, and network lifetime.
Main Methods:
- Developed a deterministic search and cost-based deployment algorithm.
- Introduced a counterflow concept and delay-based deployment algorithm.
- Proposed a node load level and lifetime-based deployment algorithm.
Main Results:
- Significant reduction in path length and deployment cost.
- Diminished transmission path length and transmission delay.
- Great improvement in network lifetime through optimized node distribution.
Conclusions:
- The proposed deployment strategy effectively addresses multiple WSN deployment objectives.
- The three algorithms offer distinct advantages for cost, delay, and lifetime optimization.
- Extensive simulations validate the effectiveness and superiority of the proposed methods.
