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NETWRAP: An NDN Based Real- 
TimeWireless Recharging Framework 
for Wireless Sensor Networks
Using vehicles equipped with wireless energy transmission technology 
to recharge sensor nodes over the air is a game-changer for 
traditional wireless sensor networks. The recharging policy regarding when 
to recharge which sensor nodes critically impacts the network performance. So far 
only a few works have studied such recharging policy for the case of using a single 
vehicle. In this paper, we propose NETWRAP, 
an NDN based Real Time Wireless Recharging Protocol for 
dynamic wirelessrecharging in sensor networks. The real-time 
recharging framework supports single or multiple mobile vehicles. Employing 
multiple mobile vehicles provides more scalability and robustness. To efficiently 
deliver sensor energy status information to vehicles in real-time, we leverage 
concepts and mechanisms from named data networking (NDN) and design energy 
monitoring and reporting protocols. We derive theoretical results on the energy 
neutral condition and the minimum number of mobile vehicles required for 
perpetual network operations.
Then we study how to minimize the total traveling cost of vehicles while 
guaranteeing all the sensor nodes can be recharged before their batteries 
deplete. We formulate the recharge optimization problem into a Multiple 
Traveling Salesman Problem with Deadlines (m-TSP with Deadlines), which is NP-hard. 
To accommodate the dynamic nature of node energy conditions with low 
overhead, we present an algorithm that selects the node with the minimum 
weighted sum of traveling time and residual lifetime. Our scheme not only 
improves network scalability but also ensures the perpetual operation 
of networks. Extensive simulation results demonstrate the effectiveness and 
efficiency of the proposed design. The results also validate the correctness of the 
theoretical analysis and show significant improvements that cut the number of 
nonfunctional nodes by half compared to the static scheme while maintaining 
the network overhead at the same level.
Thank You 
For More Details Log on to 
WWW.CEGONSOFT.COM or Contact 
Sindhu 8494903869

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IEEE projects || IEEE projects 2014 || IEEE projects DOTNET|| IEEE projects in Networking , Mobile Computing , Wireless Communication || NETWRAP: An NDN Based Real-TimeWireless Recharging Framework for Wireless Sensor Networks

  • 1. NETWRAP: An NDN Based Real- TimeWireless Recharging Framework for Wireless Sensor Networks
  • 2. Using vehicles equipped with wireless energy transmission technology to recharge sensor nodes over the air is a game-changer for traditional wireless sensor networks. The recharging policy regarding when to recharge which sensor nodes critically impacts the network performance. So far only a few works have studied such recharging policy for the case of using a single vehicle. In this paper, we propose NETWRAP, an NDN based Real Time Wireless Recharging Protocol for dynamic wirelessrecharging in sensor networks. The real-time recharging framework supports single or multiple mobile vehicles. Employing multiple mobile vehicles provides more scalability and robustness. To efficiently deliver sensor energy status information to vehicles in real-time, we leverage concepts and mechanisms from named data networking (NDN) and design energy monitoring and reporting protocols. We derive theoretical results on the energy neutral condition and the minimum number of mobile vehicles required for perpetual network operations.
  • 3. Then we study how to minimize the total traveling cost of vehicles while guaranteeing all the sensor nodes can be recharged before their batteries deplete. We formulate the recharge optimization problem into a Multiple Traveling Salesman Problem with Deadlines (m-TSP with Deadlines), which is NP-hard. To accommodate the dynamic nature of node energy conditions with low overhead, we present an algorithm that selects the node with the minimum weighted sum of traveling time and residual lifetime. Our scheme not only improves network scalability but also ensures the perpetual operation of networks. Extensive simulation results demonstrate the effectiveness and efficiency of the proposed design. The results also validate the correctness of the theoretical analysis and show significant improvements that cut the number of nonfunctional nodes by half compared to the static scheme while maintaining the network overhead at the same level.
  • 4. Thank You For More Details Log on to WWW.CEGONSOFT.COM or Contact Sindhu 8494903869