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

2014 ◽  
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Task Allocation ◽  
Wireless Sensor ◽  
Multi Agent

scholarly journals A Survey of Task Allocation: Contrastive Perspectives From Wireless Sensor Networks and Mobile Crowdsensing

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 78406-78420 ◽  
Author(s):  
Wenzhong Guo ◽  
Weiping Zhu ◽  
Zhiyong Yu ◽  
Jiangtao Wang ◽  
Bin Guo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Task Allocation ◽  
Wireless Sensor ◽  
Mobile Crowdsensing

scholarly journals Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper

2017 ◽  
Vol 13 (1) ◽  
pp. 155014771668484 ◽  
Author(s):  
Huthiafa Q Qadori ◽  
Zuriati A Zulkarnain ◽  
Zurina Mohd Hanapi ◽  
Shamala Subramaniam
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Mobile Agent ◽  
Mobile Agents ◽  
Single Agent ◽  
Data Gathering ◽  
Optimal Number ◽  
Wireless Sensor ◽  
Itinerary Planning ◽  
Multi Agent

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.

Performance Comparison of Multi-Agent Middleware Platforms for Wireless Sensor Networks

2018 ◽  
Vol 18 (7) ◽  
pp. 3039-3049 ◽  
Author(s):  
Miguel Augusto Bauermann Brasil ◽  
Bernhard Bosch ◽  
Flavio Rech Wagner ◽  
Edison Pignaton de Freitas
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Performance Comparison ◽  
Wireless Sensor ◽  
Multi Agent

Multi-agent-based clustering approach to wireless sensor networks

2009 ◽  
Vol 3 (3) ◽  
pp. 165 ◽  
Author(s):  
Elhadi M. Shakshuki ◽  
Haroon Malik ◽  
Tarek R. Sheltami
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Agent Based ◽  
Multi Agent ◽  
Clustering Approach

scholarly journals Cooperative task allocation in heterogeneous wireless sensor networks

2017 ◽  
Vol 13 (10) ◽  
pp. 155014771773574 ◽  
Author(s):  
Xiang Yin ◽  
Weichao Dai ◽  
Bin Li ◽  
Liping Chang ◽  
Chunxiao Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Task Allocation ◽  
Wireless Sensor ◽  
Heterogeneous Wireless Sensor Networks

A PSO-Optimized Real-Time Fault-Tolerant Task Allocation Algorithm in Wireless Sensor Networks

2015 ◽  
Vol 26 (12) ◽  
pp. 3236-3249 ◽  
Author(s):  
Wenzhong Guo ◽  
Jie Li ◽  
Guolong Chen ◽  
Yuzhen Niu ◽  
Chengyu Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Real Time ◽  
Task Allocation ◽  
Fault Tolerant ◽  
Wireless Sensor ◽  
Allocation Algorithm
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