Abstract
One of the most important means to position abnormal devices is to efficiently utilize the resources of wireless sensor network (WSN) and make proper analysis of the relevant data. Therefore, this paper constructs an indoor positioning and prewarning system that utilizes energy efficiently and achieves a long lifecycle. Firstly, the adjacent round iteration load balancing (ARILB) routing algorithm was proposed, which elects the cluster heads (CHs) by the adjacent round strategy. In this way, the random components were eliminated in CH election. Next, a short‐distance multifrequency routing strategy was constructed between CHs to transmit the information to the sink, and a positioning algorithm was designed called ARILB‐received signal strength (RSS). The ARILB‐RSS positioning algorithm traverses the triangles formed by anchor nodes, forming multiple sets of ranging points; then, the optimal anchor node is recorded, and the path loss factor is iterated to reduce the positioning error. Simulation shows that the network survives 54.5% longer using ARILB than using the distributed energy‐efficient clustering (DEEC) algorithm; the packet delivery rate using ARILB was about 139% higher than that of low energy adaptive clustering hierarchy (LEACH) algorithm and 35% higher than that of uneven clustering routing algorithm based on chain‐cluster type (URCC) algorithm; ARILB‐RSS reduced the ranging error by 14.31% and then the positioning error by 26.79%.
Highlights
Since its entry to the World Trade Organization (WTO) in 2001, China has maintained a rapid growth of economy for a long time, with its gross domestic product (GDP) growing at the rate of about 1,000% [1]
We can define the value of the error g, when the actual error is smaller than g; the adjacent round iteration load balancing (ARILB)-received signal strength (RSS) considers that the three anchor nodes are close to an equilateral triangle and tends to locate unknown nodes as the optimal anchor node
This section compares the performance of our method, ARILB, with three other algorithms, namely, low energy adaptive clustering hierarchy (LEACH) [33], distributed energy-efficient clustering (DEEC) [34], and uneven clustering routing algorithm based on chain-cluster type (URCC) [35], using metrics like stability time of the network, number of data packets received by the sink, and the total energy consumption of the network
Summary
Since its entry to the World Trade Organization (WTO) in 2001, China has maintained a rapid growth of economy for a long time, with its gross domestic product (GDP) growing at the rate of about 1,000% [1]. In 2013, Jin et al proposed a practical passive cluster-based node-disjoint many-to-one multipath routing protocol, with the aim to enhance energy efficiency and maximize network lifecycle. This protocol searches for the optimal path through active clustering. To reduce the number of routes in conventional routing algorithms, Weng and Lai noted that the triangle routing algorithm saves much energy to transmit data between the transmitter and the receiver, by selecting sensors with a simple triangle rule They designed an enhanced relative identification and direction-based sensor routing (ERIDSR) algorithm, which effectively lowers the total energy in near-sensor nodes [18]. MATLAB simulations were conducted to demonstrate the performance of the proposed ARILB-RSS algorithm, compared with the ARILB algorithm
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