Directional Itinerary Planning for Multiple Mobile Agents in Wireless Sensor Networks

Currently, the majority of research in the area of wireless sensor networks (WSNs) is directed towards optimizing energy use during itinerary planning by mobile agents (MAs). The route taken by the MA when migrating can get a significant effect on energy consumption and the lifespan of the network. Conversely, finding an ideal arrangement of Source Nodes (SNs) for mobile agents to visit could be a problematic issue. It is within this framework that this work focused on solving certain problems related to itinerary planning based on a multimobile agent (MMA) strategy in networks. The objective of our research was to increase the lifespan of sensor networks and to diminish the length of the data collection task. In order to achieve our objective, we proposed a new approach in WSNs, which took into consideration the criterion of an appropriate number of MAs, the criterion of the appropriate grouping of SNs, and finally the criterion of the optimal itinerary followed by each MA to visit all its SNs. Thus, we suggested an approach that may be classified as a centralized planning model where the itinerary schedule is entirely shaped by the base station (sink) which, unlike other approaches, is no longer constrained by energy consumption. A series of simulations to measure the performance of the new planning process was also carried out.

[1]  Hong Zhao,et al.  Energy Efficient Moving Target Tracking in Wireless Sensor Networks , 2016, Sensors.

[2]  Victor C. M. Leung,et al.  Multi-Agent Itinerary Planning for Wireless Sensor Networks , 2009, QSHINE.

[3]  Mostefa Bendjima,et al.  Intelligent communication of WSN based on a multi-agent system , 2013 .

[4]  Prasant Mohapatra,et al.  Prediction based opportunistic routing for maritime search and rescue wireless sensor network , 2018, J. Parallel Distributed Comput..

[5]  Mostefa Bendjima,et al.  Optimal itinerary planning for mobile multiple agents in WSN , 2012 .

[6]  Cheol-Min Kim,et al.  Device Management and Data Transport in IoT Networks Based on Visible Light Communication , 2018, Sensors.

[7]  A. Chitra,et al.  Reviewing the process of data fusion in wireless sensor network: a brief survey , 2015, Int. J. Wirel. Mob. Comput..

[8]  S. Sitharama Iyengar,et al.  On computing mobile agent routes for data fusion in distributed sensor networks , 2004, IEEE Transactions on Knowledge and Data Engineering.

[9]  Michel Barbeau,et al.  Tuning the demodulation frequency based on a normalized trajectory model for mobile underwater acoustic communications , 2019, Trans. Emerg. Telecommun. Technol..

[10]  Min Chen,et al.  Itinerary Planning for Energy-Efficient Agent Communications in Wireless Sensor Networks , 2011, IEEE Transactions on Vehicular Technology.

[11]  Elhadi M. Shakshuki,et al.  Software agent-based directed diffusion in wireless sensor network , 2008, Telecommun. Syst..

[12]  Seyed Mohammad Ghoreyshi,et al.  A Novel Cooperative Opportunistic Routing Scheme for Underwater Sensor Networks , 2016, Sensors.

[13]  Hiroshi Mineno,et al.  Adaptive data aggregation scheme in clustered wireless sensor networks , 2008, Comput. Commun..

[14]  Charalampos Konstantopoulos,et al.  Deriving Efficient Mobile Agent Routes in Wireless Sensor Networks with NOID Algorithm , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[15]  Victor C. M. Leung,et al.  Directional source grouping for multi-agent itinerary planning in wireless sensor networks , 2010, 2010 International Conference on Information and Communication Technology Convergence (ICTC).

[16]  Xiao Liu,et al.  Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks , 2018, Wirel. Commun. Mob. Comput..

[17]  Taejoon Kim,et al.  Distributed Node Scheduling with Adjustable Weight Factor for Ad-hoc Networks , 2020, Sensors.

[18]  Xiaofei Wang,et al.  Multiple mobile agents' itinerary planning in wireless sensor networks: survey and evaluation , 2011, IET Commun..

[19]  Victor C. M. Leung,et al.  Balanced Itinerary Planning for Multiple Mobile Agents in Wireless Sensor Networks , 2010, ADHOCNETS.

[20]  Shabana Mehfuz,et al.  Source to Multiple Sink Capacity Related Reliability of Wireless Sensor Networks , 2019, 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom).

[21]  Mohammed Feham,et al.  Architecture of an MAS-Based Intelligent Communication in a WSN , 2015, Int. J. Distributed Sens. Networks.

[22]  Charalampos Konstantopoulos,et al.  An Iterated Local Search Approach for Multiple Itinerary Planning in Mobile Agent-Based Sensor Fusion , 2015, 2015 11th International Conference on Mobile Ad-hoc and Sensor Networks (MSN).

[23]  Takuya Asaka,et al.  Event-driven Wireless Sensor Networks using energy-saving data collection , 2012, 2012 18th Asia-Pacific Conference on Communications (APCC).

[24]  Muaz A. Niazi,et al.  A Novel Agent-Based Simulation Framework for Sensing in Complex Adaptive Environments , 2011, IEEE Sensors Journal.

[25]  Tarek R. Sheltami,et al.  Sandstorm monitoring system architecture using agents and sensor networks , 2012, MoMM '12.

[26]  Victor C. M. Leung,et al.  Multi-Agent Itinerary Planning for Sensor Networks , 2009 .

[27]  Ricardo Moraes,et al.  Dynamic Reconfiguration of Cluster-Tree Wireless Sensor Networks to Handle Communication Overloads in Disaster-Related Situations , 2020, Sensors.

[28]  Charalampos Konstantopoulos,et al.  Effective Determination of Mobile Agent Itineraries for Data Aggregation on Sensor Networks , 2010, IEEE Transactions on Knowledge and Data Engineering.

[29]  Wei Cai,et al.  GA-MIP: Genetic algorithm based multiple Mobile Agents itinerary planning in wireless sensor networks , 2010, 2010 The 5th Annual ICST Wireless Internet Conference (WICON).

[30]  New Techniques for Incremental Data Fusion in Distributed Sensor Networks , 2007 .

[31]  Ahmed El Oualkadi,et al.  Multi-hop Cluster Based Routing Approach for Wireless Sensor Networks , 2016, ANT/SEIT.

[32]  Yunyoung Nam,et al.  Underwater Wireless Sensor Networks: A Review of Recent Issues and Challenges , 2019, Wirel. Commun. Mob. Comput..