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Cooperative MIMO in wireless sensor networks with mobile sensors for cooperativeness and data aggregation

机译:具有移动传感器的无线传感器网络中的协作MIMO,用于协作和数据聚合

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Optimality in energy usage of sensors in wireless sensor network (WSN) is a very crucial matter. Long range communications in WSNs are affected by factors like fading of channel, interference and radio irregularity. Cooperative MIMO (Multiple Input Multiple Output) communication in WSNs proves helpful to solve these problems of long range transmission. In this paper we propose a cooperative MISO (Multiple Input Single Output) communication model (A variant of MIMO) with modified LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol where a few mobile sensors (MS) using Alamouti diversity schemes take part in cooperative communication along with the normal sensors. A mobile sensor can move to a specific location of the field to take part in cooperative communication with other sensors. Normal sensors only sense the environment, gather the data, compress and take part in cooperative communication. Mobile sensors (usually do not sense) are responsible for cooperative transmission and reception and they have higher capacity in terms of battery power and communication range than the normal ones. This model of communication helps in achieving both uniform energy expenditures by the nodes and a good average lifetime for the network. By choosing some costly mobile sensors, this modified LEACH MISO model can avoid the problems of energy expenditure in cooperative node selection as well as non-uniformity in sensors death. This model helps in long range communication where many intermediate communication takes place before reaching the base station e.g., WSN in border security navigation, forest river bank for intrusion detection etc. Simulation results demonstrate the working strategy of the proposed model and show how this model can overpower any existing LEACH based MIMO model by avoiding some disadvantages of LEACH protocol.
机译:无线传感器网络(WSN)中传感器能量使用的优化是非常关键的事情。 WSN中的远程通信受到信道衰落,干扰和无线电不规则性等因素的影响。 WSN中的协作MIMO(多输入多输出)通信被证明有助于解决这些远程传输问题。在本文中,我们提出了一种具有改进的LEACH(低能量自适应聚类层次结构)协议的协作MISO(多输入单输出)通信模型(MIMO的一种变体),其中一些使用Alamouti分集方案的移动传感器(MS)参与了协作与普通传感器通信。移动传感器可以移动到现场的特定位置,以参与与其他传感器的协作通信。普通传感器仅感知环境,收集数据,压缩并参与协作通信。移动传感器(通常不感应)负责协作的发送和接收,并且在电池电量和通信范围方面,它们比普通传感器具有更高的容量。这种通信模型有助于实现节点的均匀能量消耗和网络的良好平均寿命。通过选择一些昂贵的移动传感器,这种经过改进的LEACH MISO模型可以避免协作节点选择中的能量消耗以及传感器死亡方面的不均匀性问题。该模型有助于进行远距离通信,在到达基站之前会进行许多中间通信,例如边界安全导航中的WSN,用于入侵检测的森林河岸等。仿真结果证明了所提出模型的工作策略,并说明了该模型如何能够通过避免LEACH协议的某些缺点,可以克服任何现有的基于LEACH的MIMO模型。

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