An A-A Intelligent Collaborative Method Based on Biological Immune Mechanism in WSANs

doi:10.3969/j.issn.1671-1122.2018.08.002

Abstract

Abstract:

Inspired by the biological immune mechanism, this paper proposes an A-A intelligent collaborative method based on biological immune mechanism. The method aims to solve the system’s maximum constraint time and the number of participating actor nodes. In the task cooperation time model, the state prediction function is introduced to obtain the maximum constraint time of the system; when the node is co-processed, the biological immune mechanism is used to solve the number of actor nodes that ultimately participate in the coordination. With the help of power control technology, the actor node can dynamically change the collaborative range and autonomously decide the dominant actor node to participate in the task processing, so that the superior candidate actor node has more opportunities to participate in the collaborative work, achieving efficient matching of the task and the actor node. It solves the problem of uneven energy consumption and prolongs the network life as much as possible. The simulation results show that the proposed algorithm has better performance than typical RC and MOTS algorithms in terms of the average completion time and the network lifetime.

Key words: wireless sensor and actor networks, biological immune, state prediction, collaboration, task

CLC Number:

TP309

Yan WANG, Chen PAN. An A-A Intelligent Collaborative Method Based on Biological Immune Mechanism in WSANs[J]. Netinfo Security, 2018, 18(8): 8-9.

Figures/Tables 11

References 18

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