Energy Saving and Reliability for Wireless Body Sensor Networks (WBSN)

Alshaheen, Hisham; Takruri-Rizk, Haifa

doi:10.1109/access.2018.2817025

Cited by 21 publications

(22 citation statements)

References 36 publications

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“…Taking into account the recycled WSN role, a model in Rout ang Ghosh 88 is designed to optimize overall network life by improving the energy efficiency of the bottleneck 89 . However, regarding reducing energy usage, simple nodes do not benefit from NC.…”

Section: Service Discovery and Cluster‐based Routing Protocolsmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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SummaryService discovery (SD) is the cornerstone of wireless and mobile systems. The discovery of effective service is the key to achieve a higher level of ubiquity, which ensures the availability of services to users and applications significantly, and the high use of services. The research in this field is limited, with a few SD protocols available for specific purposes specified in the 6LoWPAN region. This paper discusses the various issues and challenges facing the design and selection of the appropriate service discovery and cluster‐based mechanism. Moreover, attention has been drawn to the cross‐layer solution by discussing different clustering techniques used to solve the redundancy problems. Furthermore, the service discovery protocols and cluster‐based routing protocols are critically investigated considering the redundancy problem, methods, mechanisms, and architectures by categorizing them into different categories, comparing them with fundamental parameters in the WSNs and MANETs environments. In addition, a modern form is proposed to show the life cycle of the service discovery process, and a new figure has been designed to clarify to the researchers various of the open issues related to the service discovery and cluster‐based routing protocols, corresponding objectives and the techniques of solving problems. Through the discussion of the scientific papers under survey, important results and valuable recommendations were reached. The survey is concluded with a summary, open research issues, outlook, and directions for future research on the topic.

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Section: Service Discovery and Cluster‐based Routing Protocolsmentioning

confidence: 99%

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Yagoub

Rodrigues

Khalifa

et al. 2020

Int J Communication

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“…The reviews of existing approaches towards energy efficiencies in WSN can be referred from our past investigation [10] whereas we update more on existing approaches in relation with reliability problems in this paper. Most recently study towards energy and reliability problems has been addressed by Alshaheen and Takruri-Rizk [11] using network coding approach. Study towards reliability problems was also addressed in the work of Duan et al [12] by amending software defined network for addressing node failures issues owing to energy consumption.…”

Section: Introductionmentioning

confidence: 99%

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

Jayasri¹,

Rao²

2020

IJECE

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Wireless Sensor Network (WSN) has been studied for more than a decades that resulted in evolution of the significant applications towards assisting in sensing physical information from human inaccesible area. It was also observed from existing sysem that energy attribute is the root cause of majority of the problems associated with WSN that also gives rise to various operational reliability issue. Therefore, the prime goal of the proposed study is to present a novel predictive optimization approach of data fusion in order to jointly address the problems associated with energy efficiency and reliable operation of sensor nodes in WSN. An analytical research approach is carried out in order to ensure that a time-based synchronization scheme contributes to offer an evolutionary approach towards significant energy optimization. A simulation-based benchmarking analysis is carried out to find that proposed system offers good energy-efficient performance in comparison to existing approaches.

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“…Random linear network coding (RLNC) can significantly enhance the communication over unreliable complex networks, such as body area networks [1], caching networks [2]- [4], cellular networks [5], the Internet of Things (IoT) [6]- [8], radio access networks [9], vehicular networks [10], wireless sensor networks [11], and general wireless networks [12]- [16]. One main challenge of RLNC based communication is that the decoding in receiver nodes involves computationally highly demanding matrix multiplication and matrix inversion [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Progressive Multicore RLNC Decoding With Online DAG Scheduling

2019

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A complete generation of packets coded with Random Linear Network Coding (RLNC) can be quickly decoded on a multicore system by scheduling the involved matrix block operations in parallel with an offline (pre-recorded) directed acyclic graph (DAG). The waiting for a complete generation of packets can be avoided with progressive RLNC decoding that commences the decoding (and can decode some packets) before all packets in a generation have been received. This article develops and evaluates a novel progressive RLNC decoding strategy based on the principle of DAG scheduling of parallel matrix block operations. The novel strategy involves helper matrices for conducting the Gauss Jordan elimination based on rows of blocks of matrix elements. The matrix block computations are dynamically scheduled by an online DAG which permits branching, e.g., to skip unnecessary matrix block operations. The throughput and delay of the novel progressive RLNC decoding strategy are evaluated with experiments on two heterogeneous multicore processor boards. The novel progressive RLNC decoding achieves throughput levels on par with stateof-the-art non-progressive (full-generation) RLNC decoding and achieves three times higher throughput than the fastest (highest-throughput) known progressive RLNC decoder for small generation sizes and short data packets. Also, our progressive RLNC decoding greatly reduces receiver delays for moderate to large generation sizes; the delay reductions are particularly pronounced when a low-delay RLNC version is employed (e.g., reduction to one tenth of the non-progressive decoding delay for a generation size of 256 packets). INDEX TERMS Directed acyclic graph (DAG), helper matrix, heterogeneous multicore architecture, online scheduling, parallel computing, random linear network coding (RLNC).

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Energy Saving and Reliability for Wireless Body Sensor Networks (WBSN)

Cited by 21 publications

References 36 publications

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

Service redundancy and cluster‐based routing protocols for wireless sensor and mobile ad hoc networks: A survey

A novel predictive optimization scheme for energy-efficient reliable operation of a sensor in dynamic scenarios

Progressive Multicore RLNC Decoding With Online DAG Scheduling

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