Cooperative coverage-based lifetime prolongation for microgrid monitoring WSN in smart grid

To take full advantage of the flexibility of access and disconnection from smart grid, organizing distributed renewable energy resources in form of microgrid becomes one solution of energy replenishment in smart grid. A large amount of accurate and comprehensive information data are needed to be monitored by a variety of different types of sensors to guarantee the effective operation of this kind of microgrid. Energy consumption of microgrid monitoring WSN consequently becomes an issue. This paper presents a novel lifetime prolongation algorithm based on cooperative coverage of different types of sensors. Firstly, according to the requirements of monitoring business, the construction of cooperative coverage sets and connected monitoring WSN are discussed. Secondly, energy consumption is analyzed based on cooperative coverage. Finally, the cooperative coverage-based lifetime prolongation algorithm (CC-LP) is proposed. Both the energy consumption balancing inside the cooperative coverage set and the switching scheduling between cooperative coverage sets are discussed. Then, we draw into an improved ant colony optimization algorithm to calculate the switching scheduling. Simulation results show that this novel algorithm can effectively prolong the lifetime of monitoring WSN, especially in the monitoring area with a large deployed density of different types of sensors.

Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

To take full advantage of the flexibility of access and disconnection from smart grid, organizing distributed renewable energy resources in form of microgrid becomes one solution of energy replenishment in smart grid. A large amount of accurate and comprehensive information data are needed to be monitored by a variety of different types of sensors to guarantee the effective operation of this kind of microgrid. Energy consumption of microgrid monitoring WSN consequently becomes an issue. This paper presents a novel lifetime prolongation algorithm based on cooperative coverage of different types of sensors. Firstly, according to the requirements of monitoring business, the construction of cooperative coverage sets and connected monitoring WSN are discussed. Secondly, energy consumption is analyzed based on cooperative coverage. Finally, the cooperative coverage based lifetime prolongation algorithm (CC-LP) is proposed. Both the energy consumption balancing inside the cooperative coverage set and the switching scheduling between cooperative coverage sets are discussed. Then we draw into an improved ant colony optimization algorithm to calculate the switching scheduling. Simulation results show that this novel algorithm can effectively prolong the lifetime of monitoring WSN, especially in the monitoring area with a large deployed density of different types of sensors.

Cooperative Coverage Based Lifetime Prolongation for Microgrid Monitoring WSN in Smart Grid

To take full advantage of the flexibility of access and disconnection from smart grid, organizing distributed renewable energy resources in form of microgrid becomes one solution of energy replenishment in smart grid. A large amount of accurate and comprehensive information data are needed to be monitored by a variety of different types of sensors to guarantee the effective operation of this kind of microgrid. Energy consumption of microgrid monitoring WSN consequently becomes an issue. This paper presents a novel lifetime prolongation algorithm based on cooperative coverage of different types of sensors. Firstly, according to the requirements of monitoring business, the construction of cooperative coverage sets and connected monitoring WSN are discussed. Secondly, energy consumption is analyzed based on cooperative coverage. Finally, the cooperative coverage based lifetime prolongation algorithm (CC-LP) is proposed. Both the energy consumption balancing inside the cooperative coverage set and the switching scheduling between cooperative coverage sets are discussed. Then we draw into an improved ant colony optimization algorithm to calculate the switching scheduling. Simulation results show that this novel algorithm can effectively prolong the lifetime of monitoring WSN, especially in the monitoring area with a large deployed density of different types of sensors.

Identifying Faulty Nodes in Wireless Sensor Network to Enhance Reliability

WSN having several major issues to deliver information from source to sink. Such that secure data transmission, energy consumption, balancing the load and fault tolerance will be the major tasks. In the WSN, one node communicates with its neighbour nodes with limited energy source. So if any node does not work properly or become faulty nodes, which have less initial energy level, bandwidth to communicate with faulty nodes. Hence there is a need of system which can overcome with fault and give the reliable communication. Fault may also occur due to the dislocation of sensor nodes, battery depletion or instability of transmission medium.This proposed work will identify the faulty nodes and calculate the end to end delay as well as residual energy. Hence a reliable communication for all nodes in the WSN can be attained.