A Task Allocation Middleware for Wireless Sensor Networks in a Multi-Agent Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 78406-78420 ◽  
Author(s):  
Wenzhong Guo ◽  
Weiping Zhu ◽  
Zhiyong Yu ◽  
Jiangtao Wang ◽  
Bin Guo

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668484 ◽  
Author(s):  
Huthiafa Q Qadori ◽  
Zuriati A Zulkarnain ◽  
Zurina Mohd Hanapi ◽  
Shamala Subramaniam

Recently, wireless sensor networks have employed the concept of mobile agent to reduce energy consumption and obtain effective data gathering. Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. However, single-agent itinerary planning suffers from two primary disadvantages: task delay and large size of mobile agent as the scale of the network is expanded. Thus, using multi-agent itinerary planning overcomes the drawbacks of single-agent itinerary planning. Despite the advantages of multi-agent itinerary planning, finding the optimal number of distributed mobile agents, source nodes grouping, and optimal itinerary of each mobile agent for simultaneous data gathering are still regarded as critical issues in wireless sensor network. Therefore, in this article, the existing algorithms that have been identified in the literature to address the above issues are reviewed. The review shows that most of the algorithms used one parameter to find the optimal number of mobile agents in multi-agent itinerary planning without utilizing other parameters. More importantly, the review showed that theses algorithms did not take into account the security of the data gathered by the mobile agent. Accordingly, we indicated the limitations of each proposed algorithm and new directions are provided for future research.


2018 ◽  
Vol 18 (7) ◽  
pp. 3039-3049 ◽  
Author(s):  
Miguel Augusto Bauermann Brasil ◽  
Bernhard Bosch ◽  
Flavio Rech Wagner ◽  
Edison Pignaton de Freitas

2017 ◽  
Vol 13 (10) ◽  
pp. 155014771773574 ◽  
Author(s):  
Xiang Yin ◽  
Weichao Dai ◽  
Bin Li ◽  
Liping Chang ◽  
Chunxiao Li

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