Performance of Static Networks for Power Saving Mode

B. Rama Devi

Department of E.C.E.,

Kakatiya Institute of Technology and Science, Warangal, Telangana, INDIA

Prof. M. Asha Rani

Department of E.C.E.,

Jawaharlal Nehru Technological University, Hyderabad, Telangana, INDIA.

Prof. K. Kishan Rao

Department of E.C.E.,

Vaagdevi College of Engineering, Warangal, Telangana, INDIA

 Abstract –Nodes in Mobile Adhoc Networks (MANETs) are limited by battery Power and life time of the network can be improved by using energy efficient techniques. IEEE 802.11 defines Power Saving Mechanism and has two different power states: awake and doze. Power Saving Mechanism is one of the energy efficient technique which improves network life. The main goal of this paper is to investigate the performance of Grid and Random topology of static network under Power Saving (PS) mode. In this paper the performance of static nodes using Bellman Ford algorithm for multi-hop network was investigated. Various performance metrics of the static network were investigated with and without PS mode for both the grid and random topologies.

 Index Terms Bellman Ford algorithm, Power Saving Mechanism, MANET.

    I.  INTRODUCTION

Two different operational modes are defined in IEEE 802.11: the infrastructure network (BSS: Basic Service Set) and the Ad- Hoc network (called Independent Basic Service Set IBSS). For both networks Power Saving Mechanism (PSM) has two different power states: awake and doze.

Various Power Saving Power saving protocols for multi-hop adhoc network and traffic aware power saving protocol for multi-hop MANETs was investigated [1,2]. Power Saving Routing Protocol for Ad hoc Networks was investigated in [3].Various node placement techniques were discussed in [4]. Performance analysis of different protocols using grid topology with variable network size was investigated [5].

In this paper, the performance of static network using Bellman Ford algorithm without and with Power saving mode using Grid and random topologies were investigated. Various performance metrics like total packets received, average end-to-end delay, energy consumption in Idle mode, residual battery capacity for static networks were compared using both Grid and Random topologies. The simulation results show that PS mode is energy efficient over non PS mode and best suited for static networks.

The paper is organized as follows: In Section II, we describe power management in IEEE 802.11 IBSS and Section III describe various Node placement techniques. Section IV describe the scenario used and simulation results are analyzed in Section V. Finally, Section VI draws some conclusions.

II. POWER MANAGEMENT IN IEEE 802.11 IBSS

Power management in IEEE 802.11 IBSS: According to PSM, time is divided into specific periods called beacon intervals as shown in Fig.1. All the nodes in the PSM must be awake at the beginning of each beacon interval and shall listen for ad hoc ATIM announcement sent in an ATIM Window.  Station needs to remain awake during the ATIM window to maintain correct information on the power save state of other stations in an IBSS and to send and receive synchronization messages and announcements of buffered data frames. The presence of the ATIM window in the IBSS indicates if the station may use PS Mode. At other times the station may enter into sleep state.

 

III. NODE PLACEMENT TECHNIQUES

Network topology, routing, end to end delay, transmission range, network life time is affected by the node deployment method.

Nodes placement can be divided into three major categories.

 

1)       Deterministic or Controlled Placement:

In this nodes are placed on exact, pre- defined points on a grid or in specific parts of the grid. The node placement is depends on the type of nodes, environment type and on the applications like Indoor Surveillance Systems or Building Monitoring etc. Example: Grid.

    In Grid Placement Model Nodes are placed in a square grid format and node placement stars at (0, 0). Nodes are placed strictly on the lines of a grid and each node is one unit grid away from its neighbor nodes as shown in Fig. 2(a). The number of nodes specified for the simulation has to be a square of an integer.

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Volume -02, Issue -06 , June 2014.

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