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首页> 外文期刊>American journal of applied sciences >FFA-CONTEXT AWARE ENERGY EFFICIENT ROUTING USING FAST REACTIVE AND ADAPTIVE ALGORITHM | Science Publications
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FFA-CONTEXT AWARE ENERGY EFFICIENT ROUTING USING FAST REACTIVE AND ADAPTIVE ALGORITHM | Science Publications

机译：快速反应和自适应算法的FFA上下文AWARE能源高效路由|科学出版物

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> A vital issue of routing is how to efficiently strengthen energy consumption of the whole network and to avoid the energy-hole which leads to node failure or node death; this scenario makes the network to work improperly and leads to network death, Here we proves our hypothesis with linearity between routing and linear principles. Our proposed work effectively utilizes the adaption of Optimized particle swarm algorithm (Fast Reactive and fast adaptive algorithm) in order to solve the routing problem in wireless sensor networks to avoid the energy hole. Our approach effectively defines the node leader based on energy level and path optimization for node traversing using particle swarm which effectively utilizes the solution for problem in linearity into routing problem. Our algorithm FFA redefines the particle swarm rules which are reliable in routing strategies and adapts to the working principle. The optimization in our algorithm is to balance energy level and to withstand for its context. This study proves the accuracy using our algorithm respectively by theoretical survey and analysis with simulated results.
机译： >路由的一个关键问题是如何有效地增强整个网络的能耗，并避免导致节点故障或节点死亡的能量空洞。这种情况使网络无法正常工作并导致网络瘫痪。在这里，我们用路由和线性原理之间的线性关系证明了我们的假设。我们提出的工作有效地利用了优化粒子群算法（快速反应和快速自适应算法）的适应性，以解决无线传感器网络中的路由问题，避免了能量空洞。我们的方法基于能级和路径优化，有效地定义了节点前导，以使用粒子群算法进行节点遍历，从而有效地将线性问题的解决方案转化为路由问题。我们的算法FFA重新定义了粒子群规则，该规则在路由策略中是可靠的并适应工作原理。我们算法的优化是平衡能量水平并承受其环境。本研究通过理论调查和仿真结果分别使用我们的算法证明了其准确性。

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