Energy consumption balancing and coverage keeping method for underwater wireless sensor network

Abstract

The invention discloses an energy consumption balancing and coverage keeping method for an underwater wireless sensor network, belongs to the field of underwater wireless sensor networks, and aims toovercome the defects in an existing underwater wireless sensor network link technology. The method comprises the following steps: randomly distributing nodes in a region to be monitored; hibernating the nodes with relatively high redundancy; clustering a network in which redundant nodes are hibernated: optimizing and acquiring a group of non-dominant solutions through a multi-target algorithm based on a decomposition technology by taking network coverage and a standard difference of energy consumption as target functions, and selecting a better solution from the group of non-dominant solutionsto serve as a clustering way by a TOPSIS method; if a certain node is monitored to die, awakening dormant nodes around the dead node, and then hibernating the redundant nodes in the awakened nodes according to a hibernation principle; and repeating the steps above until the nodes cannot be connected to a base station.

Description

Technical field [0001] The invention belongs to the field of underwater wireless sensor networks, and specifically relates to a method for an underwater wireless sensor network to balance energy consumption and maintain coverage. Background technique [0002] Due to the increasing demand for ocean exploration, Underwater Wireless Sensor Networks (UWSNs) are currently widely used in underwater auxiliary navigation, underwater resource detection, underwater environment monitoring, and other fields, and they have become current research. One of the hot spots. [0003] However, due to the limited energy carried by underwater sensors and it is difficult to replace or supplement the power supply, extending the working time of the network and maintaining the coverage of the network in the process is one of the hotspots and difficulties of wireless sensor networks. In response to this problem, terrestrial wireless sensor networks mainly use node sleep strategies, design clustering protoco...

AI Technical Summary

Problems solved by technology

However, because the energy consumption model is quite different from that of UWSNs and the coverage model of terrestrial wireless sensor networks is mainly concentrated on the two-dimensional plane, which does not match the coverage model of the underwater sensor network in three-dimensional space, so the coverage model of the terrestrial sensor network cannot be The research results are directly applied to UWSNs, so it is urgent to increase research efforts on UWSNs coverage and prolonging network life.

[0004] In this regard, Latif et al. adopted a heterogeneous method to make up for the coverage holes in the network and prolong the network life by introducing mobile nodes. However, the underwater environment is more complicated, the accuracy of node movement needs to be improved, and mobile nodes will consume a lot of energy.

Hong Changjian and others use a dynamic layering mechanism to periodically cluster network nodes. Although this algorithm can prolong the network life cycle to a certain extent, it does not consider the impact of node death on network coverage; the LEACH- The Coverage-U algorithm is based on the LEACH algorithm of the terrestrial sensor network and establishes an algorithm for periodically selecting cluster heads. Although this algorithm can prolong the life cycle of the network to a certain extent, frequent selection of cluster heads will bring problems to the network. Larger energy loss, and the algorithm cannot effectively guarantee the network coverage; the cluster-based underwater sensor network coverage preservation routing algorithm proposed by Jiang Peng et al. can extend the network life cycle compared with LEACH-Coverage-U At the same time, the coverage of the network is well maintained, but disconnection between clusters and between clusters and SINK nodes is prone to occur, which leads to local network interruption, and the cluster head node near the SINK node has a large load, and its Short lifespan and premature death, which in turn affects the life cycle of the entire network

Jiang Peng et al. proposed a distributed coverage-preserving routing algorithm for unevenly layered networks, that is, the network is layered according to the different distances between nodes and SINK nodes to reduce the communication energy consumption of nodes close to SINK nodes, and based on network coverage The cluster head is selected in the way of redundancy. Although this algorithm can prolong the network life and maintain the network coverage, it is prone to the situation that the cluster head node contains more cluster members, so it cannot balance the network energy consumption well. The ability to extend the network life cycle and maintain network coverage still needs to be further improved

Images