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In this paper, we present a framework for cross-layer rate control towards maximum network lifetime and collision avoidance.
In this paper, this issue is known as Maximum Network Lifetime with Adjustable Ranges (MNLAR) which has not been already studied in the DSNs.
The clustering technique with data aggregation on cluster heads has an influence on the overall performance of the network since it is favoring a maximum network lifetime.
Through simulation, we obtain the optimal α corresponding to the maximum network lifetime and the maximum number of the arrival packets.
It is difficult to replace the batteries, therefore, it is very important to design a routing protocol that gives maximum network lifetime.
The demand for maximum network lifetime in many mission-critical applications of wireless sensor networks motivates the great significance to deploy as few sensors as possible to achieve the expected network performance.
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Therefore, routing strategy of this paper is to make ς maximum, namely: Maximize the network lifetime.
The fundamental goal of application is to make the network lifetime maximum.
Minimizing the maximum energy spent increases network lifetime significantly compared to other approaches.
With this approach, maximum energy efficiency and longest network lifetime is achieved at the expense of long delays.
Figure 15 compares the maximum energy consumption and the normalized network lifetime in terms of the optimal network lifetime parameterized by the low PRR link value equal to 0.6, 0.7, 0.8, and 0.9.
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maximum network connectivity
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maximum network throughputa
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maximum network coverage
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maximum network utility
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