Enhanced analysis of border surveillance using intruders’ crossing strategies
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External border surveillance has become one of the most trending topics of research today. The problem of automating the detection in a big and Hercules terrains using WSN is one way to do. In first half of the paper, we have focussed on the chess queen-crossing strategy adopted by the intruder in order to cross the international border. In the other half, we have used milky-way deployment strategy of sensors to automate the process of detection to a particular zone and then forwarding that detected information to the nearest base station using homogeneous zone routing protocol. The relationship between the sensor detection and energy balancing is that in our work, the focus is on shifting the load of the task of the sensor node equally thereby reducing the burden of the nodes the energy spent in sensing, detecting and communication of the information regarding the movement of the direction of the intruder to a certain region and the base station deployed in that region is responsible for alerting the border action team to crack down on the unauthorized intruders especially during the night. To achieve this objective, we have classified the monitoring zone called border region into three zones and allocating three base stations for each zones. The simulations of work show that HZR protocol performs better in terms of network lifetime for this application.
KeywordsIntruder Chess queen-crossing strategy Milky-way deployment Base station
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
- Alkhathami MH (2015) Overview of border control using wireless sensor network. Int J Sci Eng Res 6(3):768–771Google Scholar
- Alkhathami M, Alazzawi L, Elkateeb A (2015) Border surveillance and intrusion detection using wireless sensor networks. Int J Adv Eng Technol 8(2):17–29Google Scholar
- Bellazreg R, Boudriga N (2013) Border surveillance using sensor based thick-lines. In: IEEE explorer (ICOIN). University of Carthage TunisiaGoogle Scholar
- Mostafaei H (2018) Border surveillance with WSN systems in a distributed manner. IEEE Sens J 99:1–10Google Scholar
- Nurmela KJ, Ostergard PRJ (2006) Covering a square with up to 30 equal circles. Laboratory for Theoretical Computer science, Helsinki University of technology, Res Rep. A62, 2000Google Scholar
- Subir H, Amrita G, Sanjib S, Avishek D, Sipra D (2009) A lifetime enhancing node deployment strategy in WSN. Springer, Berlin, pp 295–397Google Scholar