Obidul Islam

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— 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.(More)
— 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)
— 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)
This chapter 1 presents a genetic algorithm (GA) to generate balanced and energy efficient data aggregation spanning trees for wireless sensor networks. In a data gathering round, a single best tree consumes lowest energy from all nodes but assigns more load to some sensors. As a result, the energy resources of heavily loaded nodes will be depleted earlier(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)
This paper uses a genetic algorithm (GA) to generate balanced and energy efficient data aggregation spanning trees for wireless sensor networks. In a data gathering round, a single best tree consumes lowest energy from all nodes but assigns more load to some sensors. As a result, the energy resources of heavily loaded nodes will be depleted earlier than(More)
We describe the design and implementation of a Web-based distributed system called TREESTORE, intended for storing compressed XML documents in a relational database. The use of a database is fully portable, requiring minimal changes to application code to substitute one database management system for another. In TREESTORE, compressed XML documents are(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)