Space‐correlation‐based joint data transmission and on‐demand charging for rechargeable wireless sensor networks

Abstract

It is of great importance to power the nodes of the rechargeable wireless sensor network to detect events continuously in the area of interest. This paper proposes a joint data transmission and on‐demand charging algorithm based on the space correlation. The new algorithm optimises the event detection, data forwarding and node charging jointly to improve the charging efficiency. First, the active nodes participating in the event detection are selected using an improved iterative node selection method to reduce the number of nodes working concurrently. Then, the greedy data transmission scheme based on grid partition is proposed to transmit the observed data to the sink node. Finally, the nodes in the networks are charged using the on‐demand charging method based on grid partition, which greatly decreases the charging frequency and energy loss of the mobile charger. The simulation results demonstrate that the proposed method has superior performance in the distance travelled by the mobile charger, the energy utilisation, the average energy consumption of the mobile charger and the node charging latency.

A wireless charging algorithm for rechargeable wireless sensor networks in coal mines faces

“…$${g_m}$$ is the directional gain of the smart antenna, which represents the ratio of the radiation intensity of the smart antenna to the omni‐directional antenna in a given direction when the input power is equal. For end‐fire linear array antennas composed of n elements, it is a function of beam width θ [16]: $$\begin{equation}{g_m} = \frac{{\sin \left( {\frac{{n\pi }}{4}\left( {\cos \theta - 1} \right)} \right)}}{{n\sin \left( {\frac{\pi }{4}\left( {\cos \theta - 1} \right)} \right)}}.\end{equation}$$…”

“…Experimental studies show that 𝜂 = 0.125 and 𝛽 = 0.2316. g m is the directional gain of the smart antenna, which represents the ratio of the radiation intensity of the smart antenna to the omni-directional antenna in a given direction when the input power is equal. For end-fire linear array antennas composed of n elements, it is a function of beam width 𝜃 [16]:…”

“…The overall charging performance of mining charging FIGURE 16 The accumulated charging energy of maintaining charging…”

“…Compared to the first two types of methods, the wireless charging (the third category) for rechargeable wireless sensor network shows outstanding features for such uses [9,10]. There are already some scholars who have studied in this promising field, such as the node design of rechargeable wireless sensor networks (RWSN) [11,12], mobile chargers (MC) deployment [13,14], MC path planning, cooperative charging [15,16], multi-hop charging [17,18] and so on. Some progresses have also been reported for coal mines, such as the propagation characteristics of wireless charging electromagnetic wave [19], node scheduling [20], distributed cooperative charging [21], cross-layer optimization [22], directional antenna charging [23], opportunity charging [24] etc.…”

‘Power-as-a-Service’ – A Hierarchical On-Demand Charging Model for Recharging the Mobile Nodes of MANETs

“…The authors in [19] proposed a common spatial correlation transmission of data and an on-demand algorithm for charging. The proposed algorithm optimized event detection, data transmission, and node charging together to increase charging speed.…”