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Wireless sensor network are increasingly used in data-intensive applications such as micro-climate monitoring, precision agriculture and audio/video surveillance. A key challenges faced by data-intensive wsn’s is to transmit all the data generated with an application’s lifetime to the base station despite the fact that sensor nodes have limited power supply. We propose using low-cost disposable mobile really and our work in the following aspects First, it does not require complex motion planning of mobile nodes. Second we integrate the energy consumption due to both mobility and wireless transmission. Our framework consists of first algorithm computes an optimal routing tree. The second, we integrate the energy consumption due to both mobility and wireless transmissions .The second algorithm improves the topology of the routing tree by greedily adding new nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology. Frequently forming a network topology without the use of any existing network infrastructure. We compare the performance of the three prominent routing protocols for the mobile relay is Adhoc on Demand Distance Vector (ADVO), Destination Sequenced Distance Vector (DSDV) and Temporally Ordered Routing Protocols (TORA). We have chosen four performance metrics such as Average Delay, Packet Delivery Fraction, Routing load and varying Mobility nodes, simulation for the popular routing protocols AODV, DSDV, and TORA. The simulation is carried out on NS-2. The performance differentials are analyzed using varying network size and simulations times. The simulation results confirm that ADVO performs well in terms of Average Delay, Packet Delivery Fraction. As far as routing load concers TORA performs well.
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Wireless sensor network are increasingly used in data-intensive applications such as micro-climate monitoring, precision agriculture and audio/video surveillance. A key challenges faced by data-intensive wsn’s is to transmit all the data generated with an application’s lifetime to the base station despite the fact that sensor nodes have limited power supply. We propose using low-cost disposable mobile really and our work in the following aspects First, it does not require complex motion planning of mobile nodes. Second we integrate the energy consumption due to both mobility and wireless transmission. Our framework consists of first algorithm computes an optimal routing tree. The second, we integrate the energy consumption due to both mobility and wireless transmissions .The second algorithm improves the topology of the routing tree by greedily adding new nodes. The third algorithm improves the routing tree by relocating its nodes without changing its topology. Frequently forming a network topology without the use of any existing network infrastructure. We compare the performance of the three prominent routing protocols for the mobile relay is Adhoc on Demand Distance Vector (ADVO), Destination Sequenced Distance Vector (DSDV) and Temporally Ordered Routing Protocols (TORA). We have chosen four performance metrics such as Average Delay, Packet Delivery Fraction, Routing load and varying Mobility nodes, simulation for the popular routing protocols AODV, DSDV, and TORA. The simulation is carried out on NS-2. The performance differentials are analyzed using varying network size and simulations times. The simulation results confirm that ADVO performs well in terms of Average Delay, Packet Delivery Fraction. As far as routing load concers TORA performs well.
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Certificate
1.
JOURNAL OF NATURAL
GAS SCIENCE AND ENGINEERING awardedMay,2016to MOUSTAFA DERNAIKA The Editors of JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING Elsevier,Amsterdam,TheNetherlands
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