A performance evaluation of S-MAC protocol in combination with energy efficient protocols for Wireless Sensor Networks

Pantazis, Apostolos; Nikolidakis, Stefanos A.; Vergados, Dimitrios D.

doi:10.1109/cts.2011.5898915

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…A conclusion can be drawn from above formula that the energy of receiving signal Pr decreases with the increasing of transmission distance d. It can be seen obviously that within certain distance, transmission signal will not stop suddenly with the increasing of distance but weaken gradually until the signal disappears [16][17]. In Figure 4, node B can receive the RTS grouping sent by node A correctly, while the possibility of correct receiving of node C decreases greatly.…”

Section: Increase Adaptive Transmission Hopmentioning

confidence: 87%

Improvement Research on S-MAC Protocol in Wireless Sensor Network

Shi¹,

Jin²,

Cai³

2016

IJFGCN

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Section: Increase Adaptive Transmission Hopmentioning

confidence: 87%

Improvement Research on S-MAC Protocol in Wireless Sensor Network

Shi¹,

Jin²,

Cai³

2016

IJFGCN

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“…SMAC utilizes periodic listen and sleep, collision and overhearing avoidance, and message passing mechanisms. Several works are proposed in the area of SMAC [62,[64][65][66][67][68][100][101][102][103][104][105][106][107][108][109].…”

Section: Motivationmentioning

confidence: 99%

SMAC-Based WSN Protocol-Current State of the Art, Challenges, and Future Directions

Amengu

Abdulai

Katsriku

et al. 2022

Journal of Computer Networks and Communications

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Wireless Sensor Networks (WSNS) have become an indispensable tool in this epoch of technological advancements, particularly for progress made in the Internet of things. Wireless sensor nodes are deployed to collect and transmit vital data from the environment to a base station for analysis. Nevertheless, the limited battery power of the sensor nodes is rapidly drained when they stay awake for an extended period. Research has shown that significant sources of energy dissipation of sensor nodes are idle listening, packet collision, control overhead, and overhearing. One optimal solution is employing a low duty cycle mac protocol, particularly the sensor mac (SMAC) protocol. It is essential to have a detailed knowledge of the challenges identified in SMAC and solutions suggested to mitigate these challenges and the future directions. In this paper, we review techniques in SMAC protocols implemented in WSNS. In particular, we provide highlights of recent developments in the schemes used in SMAC for mitigating the challenges in SMAC and present research gaps in SMAC protocol. Finally, we discuss open issues that need to be addressed to advance the design and implementation of SMAC in WSN applications.

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“…Many researchers have rendered incredible contribution in all these domains and have developed standards and protocols to serve the domain [3,13]. Certain vital operations like sensing [16], routing [14,17,23] and event monitoring [22] are some of the major research topics carried out by the researchers, rendering prodigious contributions and problem-solving techniques in every domain. Nowadays, the networks are loaded with built-in reliable standards and protocols, despite this the security and privacy concerns are still some of the major issues [15], degrading the efficiency and reliability of the application.…”

Section: Benchmarking Of Recommendation Trust Computation For Trust/tmentioning

confidence: 99%

Benchmarking of Recommendation Trust Computation for Trust/Trustworthiness Estimation in HDNs

El-Sayed¹,

Sankar²,

Yu³

et al. 2017

INT J COMPUT COMMUN

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In the recent years, Heterogeneous Distributed Networks (HDNs) is a predominant technology implemented to enable various application in different fields like transportation, medicine, war zone, etc. Due to its arbitrary self-organizing nature and temporary topologies in the spatial-temporal region, distributed systems are vulnerable with a few security issues and demands high security countermeasures. Unlike other static networks, the unique characteristics of HDNs demands cutting edge security policies. Numerous cryptographic techniques have been proposed by different researchers to address the security issues in HDNs. These techniques utilize too many resources, resulting in higher network overheads. This being classified under light weight security scheme, the Trust Management System (TMS) tends to be one of the most promising technology, featured with more efficiency in terms of availability, scalability and simplicity. It advocates both the node level validation and data level verification enhancing trust between the attributes. Further, it thwarts a wide range of security attacks by incorporating various statistical techniques and integrated security services. In this paper, we present a literature survey on different TMS that highlights reliable techniques adapted across the entire HDNs. We then comprehensively study the existing distributed trust computations and benchmark them in accordance to their effectiveness. Further, performance analysis is applied on the existing computation techniques and the benchmarked outcome delivered by Recommendation Trust Computations (RTC) is discussed. A Receiver Operating Characteristics (ROC) curve illustrates better accuracy for Recommendation Trust Computations (RTC), in comparison with Direct Trust Computations (DTC) and Hybrid Trust Computations (HTC). Finally, we propose the future directions for research and highlight reliable techniques to build an efficient TMS in HDNs.

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A performance evaluation of S-MAC protocol in combination with energy efficient protocols for Wireless Sensor Networks

Cited by 6 publications

References 14 publications

Improvement Research on S-MAC Protocol in Wireless Sensor Network

Improvement Research on S-MAC Protocol in Wireless Sensor Network

SMAC-Based WSN Protocol-Current State of the Art, Challenges, and Future Directions

Benchmarking of Recommendation Trust Computation for Trust/Trustworthiness Estimation in HDNs

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