Energy-Efficient Fire Monitoring over Cluster-Based Wireless Sensor Networks

Uncontrolled fires occurring in wild areas cause significant damage to natural and human resources. Many countries are looking for ways to fight forest fires at an early stage using sensor networks, by integrating IT technologies. Studies in the fire-related sensor network field are broadly classified into efficient processing of fire data on sensor nodes and energy efficiency during communications among wireless sensor nodes in case of fire. Most studies of sensor network energy efficiency so far mainly focus on extending the connectivity of the entire network and minimizing isolated nodes by applying power evenly to each sensor node through efficient cluster-based routing. This paper proposes an energy-efficient fire monitoring protocol over cluster-based sensor networks. The proposed protocol dynamically creates and reorganizes the sensor network cluster hierarchy according to the direction of fire propagation over the sensor network clusters. This paper also presents experimental results to show that the proposed protocol is more energy efficient than fire monitoring with existing cluster-based sensor network protocols.

[1]  Yi Shang,et al.  A survey on network protocols for wireless sensor networks , 2003, International Conference on Information Technology: Research and Education, 2003. Proceedings. ITRE2003..

[2]  A. Manjeshwar,et al.  TEEN: a routing protocol for enhanced efficiency in wireless sensor networks , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[3]  Dirk Timmermann,et al.  Low energy adaptive clustering hierarchy with deterministic cluster-head selection , 2002, 4th International Workshop on Mobile and Wireless Communications Network.

[4]  Xiang Yu,et al.  Improvement on LEACH Protocol of Wireless Sensor Network , 2013 .

[5]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[6]  Chase Qishi Wu,et al.  Optimizing Cluster Heads for Energy Efficiency in Large-Scale Heterogeneous Wireless Sensor Networks , 2010, Int. J. Distributed Sens. Networks.

[7]  Samiran Chattopadhyay,et al.  Designing Energy-Efficient Topologies for Wireless Sensor Network: Neural Approach , 2010, Int. J. Distributed Sens. Networks.

[8]  D. Manivannan,et al.  Routing protocols for sensor networks , 2004, First IEEE Consumer Communications and Networking Conference, 2004. CCNC 2004..

[9]  Bruce Alvin Gurney,et al.  Design and operation of spin valve sensors , 1994 .

[10]  Abraham O. Fapojuwo,et al.  A centralized energy-efficient routing protocol for wireless sensor networks , 2005, IEEE Communications Magazine.

[11]  JAMAL N. AL-KARAKI,et al.  Routing techniques in wireless sensor networks: a survey , 2004, IEEE Wireless Communications.

[12]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[13]  Mi Lu,et al.  A distributed algorithm for the dead end problem of location based routing in sensor networks , 2005, IEEE Transactions on Vehicular Technology.