SAMAC: A Cross-Layer Communication Protocol for Sensor Networks with Sectored Antennas

Felemban, Emad; Vural, Serdar; Murawski, Robert; Ekici, Eylem; Lee, Kang-Woo; Moon, YoungBag; Park, Sangjoon

doi:10.1109/tmc.2010.61

Cited by 42 publications

(35 citation statements)

References 19 publications

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“…Several existing protocols, for example, include a distinct discovery phase [8]. Our results demonstrate that after the initial discovery phase continuous monitoring and adaptation is necessary as the initial configuration may turn out to perform poorly in the long term.…”

Section: Temporal Variationsmentioning

confidence: 88%

“…In the absence of studies like the one we present in this paper, researchers made implicit assumptions about the stability of links [7,8]. Our results show that, for example, many of the existing mechanisms to select the preferred antenna configuration need to be complemented with mechanisms that continuously evaluate if the current selection of active antenna directions is still the preferred configuration, or if adaption is needed.…”

Section: Introductionmentioning

confidence: 92%

“…For example, Felemban et al present a TDMA-based MAC layer for sectored antennas that bootstraps with a very energy-consuming procedure for matching senders' and receivers' sectors [8]. Their approach has inspired us to investigate whether such a one-shot approach delivers the optimal configuration also over a longer time or whether the best configuration varies over time.…”

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

Understanding Link Dynamics in Wireless Sensor Networks with Dynamically Steerable Directional Antennas

Voigt

Mottola

Hewage

2013

Lecture Notes in Computer Science

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Abstract. By radiating the power in the direction of choice, electronicallyswitched directional (ESD) antennas can reduce network contention and avoid packet loss. There exists some ESD antennas for wireless sensor networks, but so far researchers have mainly evaluated their directionality. There are no studies regarding the link dynamics of ESD antennas, in particular not for indoor deployments and other scenarios where nodes are not necessarily in line of sight. Our long-term experiments confirm that previous findings that have demonstrated the dependence of angleof-arrival on channel frequency also hold for directional transmissions with ESD antennas. This is important for the design of protocols for wireless sensor networks with ESD antennas: the best antenna direction, i.e., the direction that leads to the highest packet reception rate and signal strength at the receiver, is not stable but varies over time and with the selected IEEE 802.15.4 channel. As this requires protocols to incorporate some form of adaptation, we present an intentionally simple and yet efficient mechanism for selecting the best antenna direction at run-time with an energy overhead below 2% compared to standard omni-directional transmissions.

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Section: Temporal Variationsmentioning

confidence: 88%

Section: Introductionmentioning

confidence: 92%

Section: Related Workmentioning

confidence: 99%

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Understanding Link Dynamics in Wireless Sensor Networks with Dynamically Steerable Directional Antennas

Voigt

Mottola

Hewage

2013

Lecture Notes in Computer Science

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“…EXISTING SYSTEM In existing system SAMAC [2] is used, SAMAC is a cross-layer model that combines the slotted operation of the MAC protocol with the direction of the attached sectored direction antennas. It uses a different approach by using sectored antenna which helps in increasing throughput, delivery ratio and the energy consumption.…”

Section: IImentioning

confidence: 99%

Energy Efficient Data Transfer In Mobile Wireless Sensor Network

RincyMol¹,

A.²

2016

IJECS

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ABSTRACT-The proposed cross-layer operation model is implemented to improve the energy consumption and system throughput of IEEE 802.15.4 Mobile Wireless Sensor Network (MWSN). The proposed model integrates four layers in the network operation: 1) application is used for node location; 2) network is designed to construct the route routing; 3) medium access control used for message forwarding; and 4) physical layers. The location of the mobile nodes is embedded in the routing operation after the route discovery process. The location information is then utilized by the MAC layer transmission power control to adjust the transmission range of the node. This is used to minimize the power utilized by the network interface to reduce the energy consumption of the node(s). The model employs a mechanism to minimize the neighbor discovery broadcasts to the active routes only. Reducing control packet broadcasts between the nodes reduces the network's consumed energy. It also decreases the occupation period of the wireless channel. The model operation leads the network to consume less energy while maintaining the network packet delivery ratio.

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“…Death of central point is the end of the system. In contrast to it, decentralized architecture needs powerful autonomous entities on one hand, and [44], fault detection [45], self-con�guration [46] Arti�cial immune network [34] Immune system [47] Misbehavior detection [48], image pattern recognition [49] Genetic algorithm [35] Natural evolution system Dynamic shortest path routing [50], lifetime maximization [51] Cellular automata [29] Life Life like/ game of life Large network simulations [52], area coverage scheme [53] Rendering (computer graphics) [30] Patterns of animal skins, birds feathers, mollusk shells, and bacterial colonies [54] Range-free localization [55] Fractal geometry Clouds, river networks, snow�akes, cauli�ower or broccoli, and systems of blood vessels and pulmonary vessels, ocean waves Antenna designing [56] Communication networks and protocols Epidemiology Cross-layer communication protocol [57,58] [61], target tracking [62] then it also re�ects the behavior of adaptation (�exible to changing environment), self-assembly (unit to be one), selforganizing (interaction for the one), and self-regulation, (keeping the process tunably smooth) [25] as in WSN due to the distributed knowledge, distributed control and scalable properties on the other hand. Although the architecture is application dependent, decentralized system has variety of advantages over the centralized system.…”

Section: � �Rom �Eal To �Rti��ialmentioning

confidence: 99%

Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions

Jabbar

Iram

Minhas

et al. 2013

International Journal of Distributed Sensor Networks

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is survey article is a comprehensive discussion on Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing. e marvelous perfection of biological systems and its different aspects for optimized solutions for non-biological problems is presented here in detail. In the current research inclination, hiring of biological solutions to solve and optimize different aspects of arti�cial systems' problems has been shaped into an important �eld with the name of bio-inspired computing. We have tabulated the exploitation of key constituents of biological system for developing bio-inspired systems to represent its importance and emergence in problem solving trends. We have presented how the metaphoric relationship is developed between the two biological and non-biological systems by quoting an example of relationship between prevailing wireless system and the natural system. Interdisciplinary research is playing a splendid contribution for various problems' solving. e process of combining the individuals' output to form a single problem solving solution is depicted in three-stage ensemble design. Also the hybrid solutions from computational intelligence-based optimization are elongated to demonstrate the emergent involvement of these inspired systems with rich references for the interested readers. It is concluded that these perfect creations have remedies for most of the problems in non-biological system.

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SAMAC: A Cross-Layer Communication Protocol for Sensor Networks with Sectored Antennas

Cited by 42 publications

References 19 publications

Understanding Link Dynamics in Wireless Sensor Networks with Dynamically Steerable Directional Antennas

Understanding Link Dynamics in Wireless Sensor Networks with Dynamically Steerable Directional Antennas

Energy Efficient Data Transfer In Mobile Wireless Sensor Network

Intelligent Optimization of Wireless Sensor Networks through Bio-Inspired Computing: Survey and Future Directions

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