Abstract
In order to reduce the energy consumption and the cost of wireless sensor networks (WSNs) deployed in linear areas and prolong the life of the network, a deployment strategy of nodes in WSNs based on “X” partition was proposed in this paper. The monitored area was partitioned based on “X” shape, and the sensor nodes were deployed, so as to make the whole area be covered and the number of nodes deployed be reduced. At the same time, the monitoring units are divided and compressed to balance and save energy of the network and prolong life of the network. Through experiment verification, compared with traditional partition deployment strategy, the deployment cost of network can be reduced effectively by the proposed strategy. In terms of the life of the network, the proposed strategy is longer than the diamond partition strategy more than 50%.
Highlights
At present, wireless sensor networks are widely used in various scenes
When the information collected by sensor nodes is sent to the base station in the form of multihops, more data forwarding tasks and greater energy consumption need to be undertaken by sensor nodes closer to the base station, while few data forwarding tasks and low energy consumption are on sensor nodes farther away from the base station, which leads to an “energy hole” in the whole wireless sensor network [2, 3], and the life of the network is ended prematurely
The main contributions of this study are summarized as follows: (1) We propose a new a deployment strategy of nodes in wireless sensor networks (WSNs) based on “X” partition, which can improve the coverage of the region to be monitored and the perceived quality of service and reduce the overall energy consumption of the network
Summary
Wireless sensor networks are widely used in various scenes. Many sensor nodes are deployed in the area to be monitored according to the established strategy and cooperated with each other to complete the task of collecting, processing, and transmitting [1]. A deployment strategy of nodes in WSN based on “X” partition is proposed; the area to be monitored can be divided by “X” partition; the number of sensor nodes in the network and network deployment cost can be reduced on the premise of realizing full network coverage. (1) We propose a new a deployment strategy of nodes in WSN based on “X” partition, which can improve the coverage of the region to be monitored and the perceived quality of service and reduce the overall energy consumption of the network (2) The proposed deployment strategy can adjust and optimize the location distribution of wireless sensor nodes according to the demand characteristics of the area to be monitored, meet the sensing needs of different areas, and improve the energy efficiency of the network and nodes.
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