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A Deployment Strategy for Multiple Types of Requirements in Wireless Sensor Networks.

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    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.

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    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.