Performance study and simulation analysis of CSMA and IEEE 802.11 in wireless sensor networks and limitations of IEEE 802.11

Chowdhury, Shaiful Alam; Islam, Mohamamd Tauhidul; Jaigirdar, Fariha Tasmin; Faruqui, Rokan Uddin; Noor, Shahid

doi:10.1109/iccit.2009.5407277

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…Variations of carrier sense multiple access (CSMA) techniques are utilized in contention-based protocols [25]. With CSMA, the basic characteristic is that the nodes listen to the shared transmission medium of the network before trying to transmit any packet.…”

Section: Related Workmentioning

confidence: 99%

Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks

Bakhsh

Sheikh

AlGhamdi

2015

International Journal of Distributed Sensor Networks

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The distributive nature of wireless sensor networks (WSNs) poses great challenges for the design of distributive scheduling to maximize network life and spatial reuse of time slot with minimum frame length. Most of the existing scheduling techniques are either centralized or contentional. The existing techniques cannot efficiently adapt to the dynamic wireless environment. In this paper, self-scheduled and distributed MAC (SSD-MAC) and self-distributive MAC (SD-MAC) medium access control algorithms are proposed to reduce the complexity and variety of scheduling problems. The proposed algorithms do not require any synchronization and can effectively adapt to dynamic topology changes without incurring global communication overhead. According to the proposed algorithms, each node maps a conflict-free time slot for itself up to 2-hop neighboring nodes. Consequently, each node successfully schedules a unique time slot for itself in a heuristic manner based on its local information. Moreover, the proposed algorithms also guarantee conflict-free edge coloring because all the incident edges to a single node are assigned to colors in such a way that none of the edges should have the same color. It has been demonstrated that, with regard to communication overhead, energy consumption and execution time through simulation proposed that algorithms outperform existing distributed randomized scheduling algorithm (DRAND).

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Section: Related Workmentioning

confidence: 99%

Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks

Bakhsh

Sheikh

AlGhamdi

2015

International Journal of Distributed Sensor Networks

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“…The simulation includes motion models, a physical layer with a radio broadcast, radio network communications and the IEEE 802. 11 (MAC) protocol [Chowdhury et al 2010] with a distributed coordination equation or DCE. This model includes collisions, broadcast delays and signal damping with a bandwidth of 2 Mbps and a transmission range of 250 m. There are some protocols that have been selected for comparison, such as DSR, AODV, DSDV, TORA, FSR, CBRP and CGSR.…”

Section: Simulation and Comparisonmentioning

confidence: 99%

Real-Time Systems, Architecture, Scheduling, and Application

Babamir¹

2012

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Real-Time Systems are computing systems that must meet their temporal specification. In computer science, real-time or reactive computing is the study of hardware and software systems that are subject to a real-time constraint called deadline, which the system should respect it in its response to events. Real-time systems, in fact, must guarantee response within strict time constraints. Real-time systems often appear as critical systems such as mission critical ones. The anti-lock brakes system on a car, for instance, is a real-time computing system where the real-time constraint is the brakes release time to prevent the wheel from locking. Real-time software may use synchronous programming languages, real-time operating systems and real-time networks providing essential frameworks for constructing real-time software applications.X Preface (Chapters 1 to 4) on real-time architectures and continues with a section (Chapters 5 and 6) on specification and verification of real-time systems, a section on real-time scheduling algorithms (Chapters 7 to 9) and ends with a section (Chapters 10 to 15) on some real world application of real-time systems.Section 1 consisting of Chapters 1 to 4 deals with architectures of real-time systems. Chapter 1 presents realizing the networking applications by means of DSP microcomputer architecture (Blackfin microcomputer) supported by an operating system kernel (Visual DSP Kernel) and lightweight IP protocol stack (LWIP suite). Moreover, the chapter provides the frameworks for telecommunications applications development and for performance evaluation. A VoIP (Voice over IP) system, as a complex networking application example, is illustrated based on adaptive multi-rate codec.Preface XI Also, this chapter proposes an approach to specify real-time systems having some features. To this end, it extends the UML sequence diagrams with new kinds of stereotypes and the notion of monitoring scenarios is introduced. Monitoring scenarios are also specified by sequence diagrams used to define liveness and safety properties.Chapter 6 provides a method for specifying and stating real-time software using Timed Automata and Real-time Logic respectively. Then, the chapter deals with obtaining the safety constraints from reachability graph of Timed Automata extracted from the problem specification and then the constraints are stated in Real-time Logic propositions. These propositions showing safety constraints are used for verification of the system behavior. To show the effectiveness of the proposed method, the chapter sets it forth for a real-time system called Rail Road Crossing Control. This chapter also includes a brief explanation of Timed Automata and Real-time Logic and a method is presented to simulate Timed Automata in Real-time logic.Section 3 consisting of Chapters 7 to 9 deals with scheduling discussion in real-time systems. Chapter 7 addresses the problem of handling overload conditions in real-time systems. The conditions are critical situations in which the computational demand requested...

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“…Similarly, a performance analysis of IEEE 802.15.4, IEEE 802.11, and S-MAC is presented in [7], which indicates IEEE 802.15.4 performs better in terms of latency and energyconservation as compared to S-MAC. In [8], a comparison is made between CSMA and IEEE 802.11. The coexistence between IEEE 802.15.4 and IEEE 802.11 is addressed along with simulation results in [9].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of MAC Layer Protocols in Wireless Sensor Network

Ahmed

Khurram

2014

IJIEEB

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Abstract-Media Access Control (MAC) layer protocols have a critical role in making a typical Wireless Sensor Network (WSN) more reliable and efficient. Choice of MAC layer protocol and other factors including number of nodes, mobility, traffic rate and playground size dictates the performance of a particular WSN. In this paper, the performance of an experimental WSN is evaluated using different MAC layer protocols. In this experiment, a WSN is created using OMNeT++ MiXiM network simulator and its performance in terms of packet delivery ratio and mean latency is evaluated. The simulation results show that IEEE 802.11 MAC layer protocol performs better than CSMA, B-MAC and IEEE 802.15.4 MAC layer protocols. In the considered scenario, IEEE 802.15.4 is ranked second in performance, followed by CSMA and B-MAC.

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Performance study and simulation analysis of CSMA and IEEE 802.11 in wireless sensor networks and limitations of IEEE 802.11

Cited by 8 publications

References 13 publications

Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks

Self-Schedule and Self-Distributive MAC Scheduling Algorithms for Next-Generation Sensor Networks

Real-Time Systems, Architecture, Scheduling, and Application

Performance Analysis of MAC Layer Protocols in Wireless Sensor Network

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