Coverage maximization in mobile Wireless Sensor Networks utilizing immune node deployment algorithm

2014 ◽  
Author(s):  
Mohammed Abo-Zahhad ◽  
Sabah M. Ahmed ◽  
Nabil Sabor ◽  
Shigenobu Sasaki
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Mobile Wireless ◽  
Node Deployment ◽  
Mobile Wireless Sensor Networks ◽  
Coverage Maximization ◽  
Mobile Wireless Sensor

Coverage Maximization and Energy Conservation for Mobile Wireless Sensor Networks

2012 ◽  
Vol 3 (2) ◽  
pp. 43-63 ◽  
Author(s):  
Nor Azlina Ab. Aziz ◽  
Ammar W. Mohemmed ◽  
Mohamad Yusoff Alias ◽  
Kamarulzaman Ab. Aziz ◽  
Syabeela Syahali
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Wireless Sensor ◽  
Energy Usage ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor Networks ◽  
Coverage Maximization ◽  
Mobile Wireless Sensor

WSN is a group of low-cost, low-power, multifunctional and small size wireless sensor nodes that work together to sense the environment, perform simple data processing and communicate wirelessly over a short distance. Mobile wireless sensor networks (WSN) coverage can be enhanced by moving the sensors so that a better arrangement is achieved. However, movement is a high energy consumption task. To maximize coverage the sensors need to be placed not too close to each other so that the sensing capability of the network is fully utilised; however they must not be located too far from each other to avoid coverage holes. It is desired to achieve optimal coverage and at the same time not to relax the mobility energy consumption issue due to the fact that sensors have a limited energy supply. This research is interested in solving the coverage and energy conservation issues of mobile wireless sensors using PSO. In this paper the WSN coverage maximization problem is considered by taking into account the energy spent for sensor repositioning. Thus there are two objectives to be optimized, namely maximizing the coverage and conserving the energy. The two objectives are tackled one by one, starting with the coverage maximization followed by energy conservation. Hence a two-phase PSO approach is proposed. The results show that the proposed algorithm successfully achieves its objectives to reduce the energy usage while at the same time improve the coverage. The energy usage is reduced by cutting down the maximum distance moved.

An Efficient Anchor Nodes Distribution For Accurate Lo-calization (EDAL) In Mobile Wireless Sensor Networks

2020 ◽  
pp. 9
Author(s):  
عمار محمد أبو زنيد ◽  
عين الدين واحد عبدالوهاب ◽  
محمد إدريس اليمني ◽  
عمر عادل مهدي ◽  
ليانا خميس قباجة
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Mobile Wireless ◽  
Mobile Wireless Sensor Networks ◽  
Anchor Nodes ◽  
Mobile Wireless Sensor
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