Proficient routing method that exploits the lifetime of Wireless Sensor Networks

B. Thenral, K. Sikamani
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引用次数: 3

Abstract

The increase in the demand for Wireless Sensor Networks (WSNs) has intensified studies which aim to obtain energy-efficient solutions, since the energy storage limitation is critical in those systems. Minimizing energy dissipation and maximizing network lifetime are important issues in the design of applications and protocols for sensor networks. Energy-efficient sensor state planning consists in finding an optimal assignment of states to sensors in order to maximize network lifetime. So that it is important to develop energy efficient solution to keep these networks for the longest period of time. Since, most of the nodes energy spent on data transmission, for that many routing technique has been proposed to expand the network lifetime such as the Online Maximum Lifetime heuristic and capacity maximization. In this project we propose an efficient routing power management heuristic obtain higher life time and increased coverage areas for network systems. In this we divide the node energy into two ratios; one for the sensor node originated data and the other one is data relays from other sensors. In our project, we are going to use the “Artificial bee colony algorithm” along with ERPMT to route the data packets. So, the lifetime of the network get increased when compared with the ABC algorithm alone used for routing the data packets.
精通路由方法,利用无线传感器网络的生命周期
对无线传感器网络(WSNs)需求的增加已经加强了旨在获得节能解决方案的研究,因为能量存储限制在这些系统中是至关重要的。最小化能量消耗和最大化网络寿命是传感器网络应用和协议设计中的重要问题。节能传感器状态规划是为了使网络的生存时间最大化,找到传感器状态的最优分配。因此,开发节能解决方案以使这些网络保持最长时间是很重要的。由于大部分节点的能量都花在数据传输上,因此人们提出了许多延长网络生存期的路由技术,如在线最大生存期启发式算法和容量最大化算法。在这个项目中,我们提出了一种有效的路由功率管理启发式方法,以获得更高的网络系统寿命和更大的覆盖范围。在这种情况下,我们将节点能量分成两个比例;一个用于传感器节点的原始数据,另一个是来自其他传感器的数据中继。在我们的项目中,我们将使用“人工蜂群算法”和ERPMT来路由数据包。因此,与单独使用ABC算法进行数据包路由相比,网络的生存期得到了提高。
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