SAJID HUSSAIN

Energy efficient virtual MIMO communication for wireless sensor networks

Telecommunication Systems, 2009

Virtual multiple input multiple output (MIMO) techniques are used for energy efficient communicat... more Virtual multiple input multiple output (MIMO) techniques are used for energy efficient communication in wireless sensor networks. In this paper, we propose energy efficient routing based on virtual MIMO. We investigate virtual MIMO for both fixed and variable rates. We use a cluster based virtual MIMO cognitive model with the aim of changing operational parameters (constellation size) to provide energy efficient communication. We determine the routing path based on the virtual MIMO communication cost to delay the first node death. For larger distances, the simulation results show that virtual MIMO (2×2) based routing is more energy efficient than SISO (single input single output) and other MIMO variations.

Energy efficient virtual MIMO communication for wireless sensor networks

Telecommunication Systems, 2009

Virtual multiple input multiple output (MIMO) techniques are used for energy efficient communicat... more Virtual multiple input multiple output (MIMO) techniques are used for energy efficient communication in wireless sensor networks. In this paper, we propose energy efficient routing based on virtual MIMO. We investigate virtual MIMO for both fixed and variable rates. We use a cluster based virtual MIMO cognitive model with the aim of changing operational parameters (constellation size) to provide energy efficient communication. We determine the routing path based on the virtual MIMO communication cost to delay the first node death. For larger distances, the simulation results show that virtual MIMO (2×2) based routing is more energy efficient than SISO (single input single output) and other MIMO variations.

An Energy Efficient Spanning Tree Based Multi-Hop Routing in Wireless Sensor Networks

Use of multiple paths in data gathering for wireless sensor networks balances energy dissipation ... 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 paths to balance energy among nodes and use them for suitable number of rounds maximize the network lifetime. Several existing protocols formulate this maximum lifetime data gathering problem as flow augmentation problem and use linear programming approach to solve. Essentially, a path in the network forms a spanning tree rooted at sink. In this paper, we propose an energy efficient spanning tree (EESR) based multi-hop routing in a homogeneous network that maximizes the network lifetime. Given the location of the sensor nodes and base station, EESR generates a sequence of routing paths with appropriate number of rounds that maximize the lifetime of the system. Our simulation results show that our proposed technique outperforms previous methods to maximize network lifetime.

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