Obidul Islam

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We use a genetic algorithm (GA) to create energy efficient clusters for routing in wireless sensor networks. The simulation results show that the proposed intelligent hierarchical clustering technique is more energy efficient than a few existing cluster-based routing protocols. Further, the gradual energy depletion in sensor nodes is also investigated
Large scale wireless sensor networks (WSNs) can be used for various pervasive and ubiquitous applications such as security, health-care, industry automation, agriculture, environment and habitat monitoring. As hierarchical clusters can reduce the energy consumption requirements for WSNs, we investigate intelligent techniques for cluster formation and(More)
Use of multiple paths in data gathering for wireless sensor networks balances energy dissipation among nodes in the network and maximizes network lifetime. The lifetime of such sensor system is the time when base station can receive data from all sensors in the network. A single best path puts extra load to a specific node causing lower lifetime. Obtaining(More)
With the advancement of micro-sensor and radio technology, wireless sensor networks are deployed in various applications. In a continuous monitoring application, sensors gather information and transmit the sensed data to base station in a periodic manner. In each data gathering round, a node generates a data packet and transmits the packet to base station,(More)
Common applications of sensor networks include continuous monitoring where sensors are deployed over a region and the sensed data are gathered at a distant base station periodically. In each round of data gathering, our MITECRO protocol minimizes the total energy consumption of the sensor network. This may however unbalance energy consumption over all(More)
Within the field of wireless sensor networks, one problem area is the limited energy supplies of the sensor nodes. In most situations, it is infeasible to replace the energy supply in each individual node. Thus it becomes important to minimize the energy expenditure of the sensor nodes, to get the maximum performance possible. There have been numerous(More)
The demonstration will provide the simulation of intelligent multi-hop techniques to maximize network lifetime. Different routing techniques would be compared using data visualization. Moreover, telos-based motes will be used to demonstrate the implementation of proposed techniques in a realtime embedded operating system such as TinyOS. The motes will be(More)