Cooperative routing method

Abstract

The invention discloses a cooperative routing method, which comprises: calculating the direct transmitting chain circuit energy consumption value from the hop node to a next hop node through a direct transmitting mode according to position information of the next hop node in a neighboring node table by the hop node, calculating each cooperative chain circuit energy consumption value from the hop node to the next node through a cooperative mode, obtaining the minimum cooperative chain circuit energy consumption value in each cooperative chain circuit energy consumption value, judging whether the minimum cooperative chain circuit energy consumption value is smaller than the direct transmitting chain circuit energy consumption value or not, obtaining a cooperative node corresponding to the minimum cooperative chain circuit energy consumption value if the minimum cooperative chain circuit energy consumption value is smaller than the direct transmitting chain circuit energy consumption value, building the cooperative routing of the hop node to the next node through the cooperative node through the cooperative mode, and otherwise building direct transmitting routing from the hop node to the next node through the direct transmitting node. The technical scheme of the invention enables the whole network to improve the energy saving effect of the whole network under the precondition of guaranteeing the data transmission success rate.

Description

technical field [0001] The invention relates to routing technology in a wireless communication network, in particular to a cooperative routing method, which belongs to the field of communication technology. Background technique [0002] With the continuous development of communication technology, especially the popularization of wireless networks, in various wireless networks, such as mobile ad hoc networks and wireless sensor networks, each node can be used as a data sending node, receiving node and forwarding node. However, mobile devices as nodes in the network have certain energy, storage capacity, and computing power. Especially for mobile ad hoc networks, which are generally used in harsh environments, excessive energy consumption of mobile devices will The energy is reduced, thereby reducing the effect of mobile devices transmitting data, and even the mobile devices may not work due to energy consumption, thereby reducing the life cycle of the entire network. [0003...

AI Technical Summary

Problems solved by technology

However, mobile devices as nodes in the network have certain energy, storage capacity, and computing power. Especially for mobile ad hoc networks, which are generally used in harsh environments, excessive energy consumption of mobile devices will The energy is reduced, thereby reducing the effect of mobile devices transmitting data, and even mobile devices may not work due to energy consumption, thereby reducing the life cycle of the entire network

[0003] In the prior art, the shortest path method is generally used to establish the route from the source node to the destination node, which can reduce the distance of data transmission and increase the rate of data transmission. However, the route established in this way does not consider the energy consumption of nodes, making In the process of data transmission, some nodes may need to have a large data transmission power to achieve a better data transmission success rate or transmission effect, so that nodes often need to consume a lot of energy, and there is insufficient energy, so that the data transmission success rate Decline or inability to complete data transmission, causing nodes to fail in the network, thereby reducing the life cycle of the entire network

At the same time, other nodes in the network may not be on the shortest path. Therefore, even if the node has less energy consumption to achieve data transmission to the destination node and has a higher transmission success rate, it is not used, so that each node in the network The energy consumption is not balanced, and each data transmission path may have a large energy consumption, which is not conducive to the energy saving of the network

Images