A energy-balancing routing method for wireless sensor networks based on node centrality

Abstract

The invention discloses a wireless sensor network energy consumption balance routing method based on node centrality. A network topology discovery message is used for acquiring local information of anode, and acquired local information, including the shortest path length from a neighbor to an aggregation node and a node centrality estimated value which can be used for evaluating the communicationimportance of the node in a network, is used for performing data routing by comprehensively considering shortest transmission and energy consumption balance. As most wireless sensor networks are applied to special environments and sensor nodes carry non-renewable limited energy or energy supplement is extremely limited, the routing method provided by the invention can obtain balance between minimization of the whole network forwarding amount and average energy consumption of each node, avoids premature death of individual nodes, and prolongs the overall available life of the network.

Description

technical field [0001] The invention relates to a wireless sensor network energy balance routing method based on node centrality, and is especially suitable for information collection applications of wireless sensor networks sensitive to energy consumption. Background technique [0002] Wireless sensor network is a special distributed self-organizing wireless network, which plays an increasingly important role in space exploration, industrial manufacturing, smart home, agricultural production, military operations and other fields. In the wireless sensor network, the sensor nodes need to collect information and send it back to the sink node through the routing protocol. However, sensor nodes, especially in extreme information collection environments, carry limited non-renewable energy or energy replenishment is extremely limited. Path selection strategy is the most important factor affecting node energy consumption. In order to improve the average life of wireless sensor netw...

AI Technical Summary

Problems solved by technology

These algorithms have problems in the extremely energy-sensitive environment of the lunar surface: DSDV is passive routing, nodes need to maintain routing tables throughout the process, and the calculation and communication costs are high; AODV and DSR are active routing, and path finding is only performed when necessary, but AODV needs to periodically broadcast hello messages to maintain the neighbor list. DSR pathfinding messages contain the entire path information and require nodes to record. The overhead is unacceptable in some wireless sensor network environments.

However, this type of method needs to count the energy of each area, and the communication and calculation costs are too high in practical applications

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