Interference Management upon Collaborative Beamforming in a Wireless Sensor Network Monitoring System featuring Multiple Unmanned Aerial Vehicles

Robert Macharia, K. Langat, P. Kihato
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引用次数: 3

Abstract

Collaborative beamforming (CBF) has been proposed as a viable tool towards increasing node transmission range in Wireless Sensor Networks (WSNs). This is highly essential in scenarios featuring highly elevated airborne sinks (Unmanned Aerial Vehicles (UAVs)) where multi-hop transmission is inconceivable. CBF yields radiation in unintended directions (sidelobes). A high sidelobe is bound to lead to interference at an UAV in the sidelobe’s direction (taking into consideration a case of multiple and mobile UAV sinks). A direct consequence of increased interference is reduction in communication capacity at the affected UAV. This paper presents a generalized sidelobe minimization scheme using Gravitational Search Algorithm (GSA). The effect of sidelobe minimization on the communication capacity at unintended UAVs is analyzed. Appreciable capacity increase is observed in comparison to a scheme featuring peak sidelobe minimization only.
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多无人机无线传感器网络监控系统协同波束形成干扰管理
协同波束形成(CBF)被认为是增加无线传感器网络(WSNs)节点传输距离的可行工具。这在具有高架机载水槽(无人驾驶飞行器(uav))的场景中是非常必要的,因为多跳传输是不可想象的。CBF产生非预期方向的辐射(旁瓣)。高旁瓣必然会导致无人机在旁瓣方向上的干扰(考虑到多个移动的无人机接收器的情况)。增加干扰的一个直接后果是受影响无人机的通信能力减少。提出了一种基于引力搜索算法(GSA)的广义旁瓣最小化方案。分析了副瓣最小化对非预期无人机通信能力的影响。与仅具有峰值旁瓣最小化的方案相比,观察到明显的容量增加。
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