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Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization

机译:使用蚁群优化在数据收集无线传感器网络中平衡能量消耗

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Formulation of energy efficient protocols is of utmost importance for wireless sensor networks because of energy constraints of sensor nodes. When a number of nodes is deployed in a field located away from the base station, the nodes undergo unequal energy dissipation while transmitting information to the base station primarily due to two reasons: i) the difference in the distances of nodes from the base station and ii) the variation in inter-nodal distances. The schemes presented here better network lifetime by taking into account these two issues and try to equalize the energy dissipation by the nodes. While constructing the chain we also use Ant Colony Optimization algorithm instead of greedy approach used in PEGASIS. Application of ACO ensures that the chain formed is of shortest possible length and thus further helps enhance network performances by reducing the inter-nodal transmission distances as much as possible. Extensive simulations performed corroborates that the proposed schemes outperform PEGASIS by a significant margin.
机译:由于传感器节点的能量限制,制定节能协议对于无线传感器网络至关重要。当许多节点部署在远离基站的区域中时,这些节点在向基站传输信息时会经历不平等的能量消耗,这主要是由于两个原因:i)节点到基站的距离之差和ii)节点间距离的变化。通过考虑这两个问题,在这里提出的方案可以更好地延长网络寿命,并尝试使节点的能量消耗相等。在构建链时,我们还使用蚁群优化算法代替了PEGASIS中使用的贪婪方法。 ACO的应用可确保所形成的链条的长度尽可能短,从而通过尽可能减少节点间的传输距离进一步帮助提高网络性能。进行的大量仿真证实了所提出的方案在很大程度上优于PEGASIS。

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