Energy consumption balancing in wireless sensors networks

The management of energy in wireless sensors networks (wsn) is the main factor that can influence the lifespan of the network. To reduce the energy consumption, the transmission of data between sensor nodes must be reduced in order to preserve the remaining energy in every node. The nodes closest to the sink are critical nodes, they perform far more tasks than other nodes in wsn and consume a big amount of energy. Therefore, the resources of these nodes determine the lifetime of the whole network. To reduce the network traffic overhead and prolong the lifespan of the network we propose a new energy balancing architecture based on hexagonal clusters. In addition, the use of a mobile agent for each and every cluster and several sinks for the whole network can solve the problem of uneven energy consumption of both inter- and intra-cluster environments.

[1]  Wint Yi Poe,et al.  Sink placement without location information in large-scale wireless sensor networks , 2009, AINTEC.

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

[3]  Li Xu,et al.  A study of subdividing hexagon-clustered WSN for power saving: Analysis and simulation , 2011, Ad Hoc Networks.

[4]  Min Chen,et al.  Data dissemination based on mobile agent in wireless sensor networks , 2005, The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l.

[5]  Mohammed Feham,et al.  Intelligent Wireless Sensor Network Management Based on a Multi-Agent System , 2012 .

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

[7]  David Marsh,et al.  Multi-agent System Architectures for Wireless Sensor Networks , 2005, International Conference on Computational Science.

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

[9]  Victor C. M. Leung,et al.  Mobile Agent Based Wireless Sensor Networks , 2006, J. Comput..

[10]  Victor C. M. Leung,et al.  Applications and design issues for mobile agents in wireless sensor networks , 2007, IEEE Wireless Communications.

[11]  M. Khalafalla,et al.  Combining ability and heterosis for yield and yield components in maize (Zea mays L.). , 2012 .

[12]  Richard Tynan,et al.  Multi-Agent System Methodology for Wireless Sensor Networks , 2006, Multiagent Grid Syst..

[13]  Mohammadali Kianifar.  Using Intelligent Agents In Wireless Sensor Networks As Sinks for Optimizing Power Consumption , 2012 .

[14]  Victor C. M. Leung,et al.  Mobile Agent-Based Directed Diffusion in Wireless Sensor Networks , 2007, EURASIP J. Adv. Signal Process..

[15]  Sherali Zeadally,et al.  Balancing energy consumption with mobile agents in wireless sensor networks , 2012, Future Gener. Comput. Syst..

[16]  Wei Cai,et al.  A Genetic Algorithm Approach to Multi-Agent Itinerary Planning in Wireless Sensor Networks , 2011, Mob. Networks Appl..

[17]  Emanuel Melachrinoudis,et al.  Controlled sink mobility for prolonging wireless sensor networks lifetime , 2008, Wirel. Networks.