Mohammad Hossein Anisi

Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia

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Publications (3)1.74 Total impact

  • Source
    Article: An overview of data routing approaches for wireless sensor networks.
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    ABSTRACT: Recent years have witnessed a growing interest in deploying large populations of microsensors that collaborate in a distributed manner to gather and process sensory data and deliver them to a sink node through wireless communications systems. Currently, there is a lot of interest in data routing for Wireless Sensor Networks (WSNs) due to their unique challenges compared to conventional routing in wired networks. In WSNs, each data routing approach follows a specific goal (goals) according to the application. Although the general goal of every data routing approach in WSNs is to extend the network lifetime and every approach should be aware of the energy level of the nodes, data routing approaches may focus on one (or some) specific goal(s) depending on the application. Thus, existing approaches can be categorized according to their routing goals. In this paper, the main goals of data routing approaches in sensor networks are described. Then, the best known and most recent data routing approaches in WSNs are classified and studied according to their specific goals.
    Sensors 01/2012; 12(4):3964-96. · 1.74 Impact Factor
  • Article: Energy-Efficient Data Collection in Wireless Sensor Networks.
    Mohammad Hossein Anisi, Abdul Hanan Abdullah, Shukor Abd Razak
    Wireless Sensor Network. 01/2011; 3:338-342.
  • Source
    Article: Efficient Data Aggregation in Wireless Sensor Networks
    Mohammad Hossein Anisi, Abdul Hanan Abdullah, Shukor Abd Razak
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    ABSTRACT: One of the key issues in wireless sensor networks is data collection from sensors. In this area, data aggregation is an important technique for reducing the energy consumption. We can achieve ideal energy consumption if we use an efficient technique for data aggregation. Also, reliability and robustness of transferring data is one of the significant challenges. The in-network data aggregation approach which is proposed in this paper, besides achieving ideal energy consumption by limiting a number of redundant and unnecessary responses from the sensor nodes, it can increase the chance of receiving data packets at the destination and cause to more accurate results. By utilization of J-Sim simulator, the proposed approach is compared and evaluated with some famous similar approaches in this area. The simulation results show that by using the proposed approach, the loss amount of the data packets and the average energy consumption of network will be considerably reduced.

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Institutions

  • 2012
    • Universiti Teknologi Malaysia
      • Department of Computer Systems and Communication
      Johor Bahru, Johor, Malaysia