scholarly journals A Genetic Programming Approach to Cost-Sensitive Control in Wireless Sensor Networks

2017 ◽  
pp. 1-31 ◽  
Author(s):  
Afsoon Yousefi Zowj ◽  
Josh C. Bongard ◽  
Christian Skalka
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Genetic Programming ◽  
Wireless Sensor ◽  
Programming Approach

scholarly journals A Hyper-Heuristic Framework for Lifetime Maximization in Wireless Sensor Networks With A Mobile Sink

2020 ◽  
Author(s):  
Zhixing Huang
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Genetic Programming ◽  
Network Lifetime ◽  
Building Blocks ◽  
Mobile Sink ◽  
Wireless Sensor ◽  
Programming Algorithm ◽  
Computational Time ◽  
High Level

Maximizing the lifetime of wireless sensor networks (WSNs) is an important and challenging research problem. Properly scheduling the movements of mobile sinks to balance the energy consumption of wireless sensor network is one of the most effective approaches to prolong the lifetime of wireless sensor networks. However, the existing mobile sink scheduling methods either require a great amount of computational time or lack effectiveness in finding high-quality scheduling solutions. To address the above issues, this paper proposes a novel hyperheuristic framework, which can automatically construct high-level heuristics to schedule the sink movements and prolong the network lifetime. In the proposed framework, a set of low-level heuristics are defined as building blocks to construct high-level heuristics and a set of random networks with different features are designed for training. Further, a genetic programming algorithm is adopted to automatically evolve promising high-level heuristics based on the building blocks and the training networks. By using the genetic programming to evolve more effective heuristics and applying these heuristics in a greedy scheme, our proposed hyper-heuristic framework can prolong the network lifetime competitively with other methods, with small time consumption. A series of comprehensive experiments, including both static and dynamic networks, are designed. The simulation results have demonstrated that the proposed method can offer a very promising performance in terms of network lifetime and response time.

Automatic generation and configuration of Wireless Sensor Networks applications with Genetic Programming

2013 ◽  
Author(s):  
Tales Heimfarth ◽  
Renato Resende Ribeiro de Oliveira ◽  
Raphael Winckler de Bettio ◽  
Ariel Felipe Ferreira Marques ◽  
Claudio Fabiano Motta Toledo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Genetic Programming ◽  
Automatic Generation ◽  
Wireless Sensor

scholarly journals Evolving attackers against wireless sensor networks using genetic programming

2017 ◽  
Vol 7 (4) ◽  
pp. 113-122 ◽  
Author(s):  
Kinga Mrugala ◽  
Nilufer Tuptuk ◽  
Stephen Hailes
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Genetic Programming ◽  
Wireless Sensor

A constraint programming approach to the additional relay placement problem in wireless sensor networks

Constraints ◽  
2015 ◽  
Vol 20 (4) ◽  
pp. 433-451 ◽  
Author(s):  
Luis Quesada ◽  
Lanny Sitanayah ◽  
Kenneth N. Brown ◽  
Barry O’Sullivan ◽  
Cormac J. Sreenan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Constraint Programming ◽  
Wireless Sensor ◽  
Programming Approach ◽  
Placement Problem ◽  
Relay Placement
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