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"On Virtualizing Targets Coverage in Energy Harvesting IoT Systems" by Longji Zhang, Kwan Wu Chin et al.

This paper considers targets coverage in energy harvesting Internet of Things (IoT) networks. Specifically, solar-powered sensor devices employ network virtualization technology to partition their resources, such as energy, memory, and computation workload, in order to serve requests with different coverage requirements. Our objective is to maximize the revenue from completing requests. To this end, we outline a mixed integer linear program (MILP) to optimize the start time of each request and the set of nodes that serve a request. We also propose a heuristic, called energy harvesting aware request placement (EHARP), to determine requests to be deployed in each time slot based on energy harvesting conditions and the resource state of sensor nodes. Furthermore, we propose two model predictive control (MPC) approaches, called MPC-MILP and MPC-EHARP, respectively, which deploy requests based on energy arrival at devices over a given time window as predicted by a Gaussian mixture model (GM ....

Energy Harvesting , Nternet Of Things , Mathematical Optimization , Receding Horizon Control , Soft Sensors , Task Analysis , Task Assignment , Virtual Network Function , Wireless Sensor Networks ,

"A cooperation federated forwarder selection technique for maximizing n" by Rajeev Tiwari, Premkumar Chithaluru et al.

Wireless Sensor Network (WSN) fulfills the requirements to solve real-life applications due to their unattended nature. But, the main constraint faced by researchers is the energy available with sensor nodes. The network should have a longer lifetime to offer better data aggregation. So there is a need to prolong the life of sensor nodes and thus WSN. It is necessary to design energy-efficient operational schemes. One of the most suitable approaches to enhance energy efficiency is the clustering scheme, which enhances the performance parameters of WSN. Thus Adaptive Ranking based Energy-efficient Opportunistic routing (AREOR) is an opportunistic scheme that creates dynamic clusters and offers a longer lifetime to the network due to its heuristic. This scheme is modified based on the cooperation of nodes termed Cooperation Federated-AREOR (CF-AREOR), further enhancing the network’s performance parameters. This protocol is implemented using a network simulator, and its performance is a ....

Wireless Sensor Network , Sensor Network , Adaptive Ranking , Energy Efficient Opportunistic , Live Node Analysis , Ead Node Analysis , Energy Optimization , Orwarder Node , Esidual Energy , Wireless Sensor Networks ,

IAF's Group Captain Gets two patents in the field of Cyber Physical Systems (CPS) – Indian Defence Research Wing

IAF's Group Captain Gets two patents in the field of Cyber Physical Systems (CPS) – Indian Defence Research Wing
idrw.org - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from idrw.org Daily Mail and Mail on Sunday newspapers.

Framework Of Trust Evaluation , Indian Air Force , Group Captain Sundeep Desai , A Method Of Trust Evaluation , Indian Air , Air Force , Cyber Physical Systems , Cyber Security , Trust Evaluation , Nodes Deployed , Wireless Sensor Networks , Any Digital Environment ,