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Method for multi-objective optimization opportunistic routing of underwater sensor network

A multi-objective optimization and underwater sensing technology, which is applied in the field of multi-objective optimization opportunity routing in underwater sensor networks, can solve the problems of falling into local optimal solutions, energy consumption, data redundancy, etc.

Active Publication Date: 2020-03-27
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0005] Traditional routing uses a greedy strategy to select the best forwarding node within the range of one-hop neighbors, and it is easy to fall into a local optimal solution
At the same time, nodes that satisfy the condition that the depth is smaller than the current node will participate in the forwarding of data packets, which will cause multiple nodes to forward the same data packet at the same time, resulting in data redundancy and energy consumption

Method used

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  • Method for multi-objective optimization opportunistic routing of underwater sensor network
  • Method for multi-objective optimization opportunistic routing of underwater sensor network
  • Method for multi-objective optimization opportunistic routing of underwater sensor network

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Embodiment

[0073] refer to image 3 , a method for multi-objective optimization opportunity routing in underwater sensor networks, including the following steps:

[0074] 1) Define multi-objective optimization opportunity routing MOO-BA: In the routing packet type and message format of MOO-BA, the packet header of any packet contains two fields: sender ID, packet sequence number, sender ID is the identifier of the underwater sensor node; the packet sequence number is the unique sequence number assigned to the packet by the underwater sensor node, the combination of the sender ID and the packet sequence number helps to avoid duplication in the routing process, routing information Including energy and depth, energy is the remaining energy of the beacon node, depth is the depth information of the current transponder, each node is automatically updated during the beacon sending phase, such as figure 1 shown;

[0075] Routing information includes five types of requests, namely invite reques...

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Abstract

The invention discloses a method for multi-objective optimization opportunistic routing of an underwater sensor network, and the method comprises the following steps: 1), defining a multi-objective optimization opportunistic routing MOO-BA; (2) initializing an beacon, (3) carrying out dynamic life estimation DLE, (4) initializing a path, (5) carrying out group optimization problem solving, and (6)carrying out improved BA path optimization. The method can prevent the same node from consuming energy due to frequent data forwarding, achieve the purpose of energy consumption balance, prolong thenetwork life cycle, reduce end-to-end delay and improve the effective data packet transmission amount.

Description

technical field [0001] The invention relates to underwater communication, in particular to a method for multi-objective optimization opportunity routing of an underwater sensor network. Background technique [0002] Underwater Sensor Networks (UWSNs for short) are similar to other adhoc networks and consist of many sensors that are deployed in a given area in the water to perform their tasks cooperatively. Unlike terrestrial sensor nodes that rely on radio signals to communicate with each other, underwater sensing nodes use acoustic channels as the communication medium at a speed of 1500 m / s, which is 5 orders of magnitude slower than radio signals. In addition, the available bandwidth of acoustic channels is usually less than 15kHz, which is much narrower than that of terrestrial channels. The development of underwater sensing networks has facilitated the development of various applications, including marine environment monitoring, marine geological exploration, underwater...

Claims

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Application Information

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IPC IPC(8): H04W12/06H04W24/02H04W40/10H04W84/18H04B13/02H04W12/084
CPCH04W40/10H04W24/02H04W12/06H04W84/18H04B13/02Y02D30/70
Inventor 覃琴徐海涛王鑫田艺
Owner GUILIN UNIV OF ELECTRONIC TECH
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