scholarly journals Toward Green Sensor Field by Optimizing Power Efficiency Using D-Policy M/G/1 Queuing Systems

2013 ◽  
Vol 9 (3) ◽  
pp. 241-260 ◽  
Author(s):  
Fuu-Cheng Jiang ◽  
Hsiang-Wei Wu ◽  
Fang-Yi Leu ◽  
Chao-Tung Yang
Keyword(s):  
Sensor Networks ◽  
Power Consumption ◽  
Power Efficiency ◽  
Ieee 802.15.4 ◽  
Power Saving ◽  
Rechargeable Batteries ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Mathematical Framework ◽  
Sensor Field

Power efficiency is a crucially important issue in the IEEE 802.15.4/ZigBee sensor networks (ZSNs) for majority of sensor nodes equipped with non-rechargeable batteries. To increase the lifetime of sensor networks, each node must optimize power consumption as possible. Among open literatures, much research works have focused on how to optimally increase the probability of sleeping states using multifarious wake-up strategies. Making things different, in this article, we propose a novel optimization framework for alleviating power consumption of sensor node with the D-policy M/G/1 queuing approach. Toward green sensor field, the proposed power-saving technique can be applied to prolong the lifetime of ZSN economically and effectively. For the proposed data aggregation model, mathematical framework on performance measures has been formulated. Data simulation using MATLAB tool has been conducted for exploring the feasibility of the proposed approach. And also we analyze the average traffic load per node for tree-based ZSN. Focusing on ZigBee routers deployed at the innermost shell of ZSN, network simulation results validate that the proposed approach indeed provides a feasibly cost-effective approach for prolonging lifetime of ZSNs.

scholarly journals The Synchronized Peer-to-Peer Framework and Distributed Contention-Free Medium Access for Multihop Wireless Sensor Networks

2008 ◽  
Vol 2008 ◽  
pp. 1-28 ◽  
Author(s):  
Ahmad Khayyat ◽  
Ahmed Safwat
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Consumption ◽  
Low Power ◽  
Ieee 802.15.4 ◽  
Peer To Peer ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Free Access

IEEE 802.15.4 is a low-power, low-rate MAC/PHY standard that meets most of the stringent requirements of singlehop wireless sensor networks. Sensor networks with nodal populations composed of thousands of devices have been envisioned in conjunction with environmental, vehicular, military applications, and many others. However, such large sensor network deployments necessitate multihop support as well as low power consumption. In the light of the standard's extremely limited joint support of the two aforementioned attributes, this paper presents two essential contributions. First, a framework is proposed to implement a new IEEE 802.15.4 operating mode, namely, thesynchronized peer-to-peermode. This mode is designed to enable the standard's low-power features in peer-to-peer multihop-ready topologies. The second contribution is a distributed GTS(dGTS)management scheme designed to function in the newly devised network mode. This protocol provides reliable contention-free access in peer-to-peer topologies in a completely distributed manner. Assuming optimal routing, our simulation experiments reveal perfect delivery ratios as long as the traffic load does not reach or surpass its saturation threshold. dGTS sustains at least twice the delivery ratio of contention-based access under suboptimal dynamic routing. Moreover, the dGTS scheme exhibits minimum power consumption by eliminating the retransmissions attributed to contention, which, in turn, reduces the number of transmissions to a minimum.

A Self-Adaptive Listen-Time Sleeping Algorithm Based on the Number of Neighbor Nodes for Wireless Mesh Sensor Networks

2012 ◽  
Vol 433-440 ◽  
pp. 5123-5128
Author(s):  
Jun Feng Hao ◽  
Jing Fan ◽  
Wen Yu Shi
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Heavy Traffic ◽  
Power Saving ◽  
Critical Issue ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Mesh ◽  
End To End Delay ◽  
Low Traffic

Power saving is a very critical issue in wireless sensor network. Many schemes for power saving can be found in the literature, but these schemes barely consider different topology of nodes. In this paper, based on S-MAC algorithm, NALS-MAC algorithm is designed and combined with the characters of application background of wireless mesh sensor networks. According to the number of neighbor nodes, sensor nodes self-adaptively generate the listen-time during a period respectively. The node with more neighbors will have longer listen-time, because more neighbors means higher probability of heavy traffic. The nodes need longer time to deal with information than nodes with low traffic. The results show that the sensor nodes adjusting the listen-time self-adaptively in proper way achieves the reduction of end-to-end delay and enhance throughout.

Hierarchical Wireless Networks of Body Sensor Networks for Healthcare Applications

2010 ◽  
pp. 65-86 ◽  
Author(s):  
José A. Afonso ◽  
Pedro Macedo ◽  
Luis A. Rocha ◽  
José H. Correia
Keyword(s):  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Base Station ◽  
Mac Protocols ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Body Sensor Networks ◽  
Healthcare Applications ◽  
Data Intensive ◽  
The One

Conventional wired body sensor networks have been used in hospitals over the last decade; however, the tethered operation restricts the mobility of the patients. In the scenario considered in this chapter, the signals collected from the patients’ bodies are wirelessly transmitted to a base station, and then delivered to a remote diagnosis centre through a communication infrastructure, enabling full mobility of the patient in the coverage area of the wireless network. Healthcare applications require the network to satisfy demanding requirements in terms of quality of service (QoS) and, at the same time, minimize the energy consumption of the sensor nodes. The traffic generated by data-intensive healthcare applications may lead to frequent collisions between sensor nodes and the consequent loss of data, if conventional MAC protocols for wireless sensor networks are used. Therefore, this chapter presents LPRT and CCMAC, two MAC protocols that intend to satisfy the QoS requirements of these applications, but differ in the wireless topology used. Experimental results for an implementation of the LPRT using an IEEE 802.15.4 compliant wireless sensor platform are presented, as well as simulation results comparing the performance of direct communication (between wireless body sensor nodes and the base station) with two other approaches relying on a cluster-based topology (similar to the one proposed by the authors of LEACH), which demonstrate the benefits of using a cluster-based topology on wireless healthcare applications.

Optimizing Power Consumption for the Wireless Sensor Node

2015 ◽  
Vol 738-739 ◽  
pp. 107-110
Author(s):  
Hui Lin
Keyword(s):  
Power Consumption ◽  
Radio Frequency ◽  
Power Saving ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Wireless Sensor Nodes ◽  
Cycle Times ◽  
Current Consumption ◽  
Saving Effect

A Wireless Sensor Network is composed of sensor nodes powered by batteries. Thus, power consumption is the major challenge. In spite of so many research works discussing this issue from the aspects of network optimization and system design, so far not so many focus on optimizing power consumption of the Radio Frequency device, which consumes most of the energy. This paper describes the digital features of the Radio Frequency device used to optimize current consumption, and presents a practical approach to measure current consumption in static and dynamic scenarios in details, by which we evaluates the power saving effect. The results demonstrated that according to cycle times and application characteristics choosing appropriate features can prolong the lifetime of wireless sensor nodes.

scholarly journals LNDIR: A lightweight non-increasing delivery-latency interval-based routing for duty-cycled sensor networks

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771876760 ◽  
Author(s):  
Muhammad K Shahzad ◽  
Dang Tu Nguyen ◽  
Vyacheslav Zalyubovskiy ◽  
Hyunseung Choo
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Nodes ◽  
Traffic Load ◽  
Wireless Sensor ◽  
Neighbor Discovery ◽  
Performance Improvements ◽  
Novel Approach ◽  
Minimum Latency ◽  
Latency Interval

Wireless sensor networks are composed of low-energy, small-size, and low-range unattended sensor nodes. Recently, it has been observed that by periodically turning on and off the sensing and communication capabilities of sensor nodes, we can significantly reduce the active time and thus prolong network lifetime. However, this duty cycling may result in high network latency, routing overhead, and neighbor discovery delays due to asynchronous sleep and wake-up scheduling. These limitations call for a countermeasure for duty-cycled wireless sensor networks which should minimize routing information, routing traffic load, and energy consumption. In this article, we propose a lightweight non-increasing delivery-latency interval routing referred as LNDIR. This scheme can discover minimum latency routes at each non-increasing delivery-latency interval instead of each time slot. Simulation experiments demonstrated the validity of this novel approach in minimizing routing information stored at each sensor. Furthermore, this novel routing can also guarantee the minimum delivery latency from each source to the sink. Performance improvements of up to 12-fold and 11-fold are observed in terms of routing traffic load reduction and energy efficiency, respectively, as compared to existing schemes.

scholarly journals Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

2020 ◽  
Author(s):  
Costas Michaelides ◽  
Foteini-Niovi Pavlidou
Keyword(s):  
Sensor Networks ◽  
Ieee 802.15.4 ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Mode ◽  
Mutual Aid ◽  
Neighboring Node ◽  
Data Packets ◽  
Critical Data ◽  
Timely Delivery

A large number of wireless sensor nodes in a certain area results in high contention. Inevitably, the transmissions of any possible critical data packets may fail due to collisions. In this article, we introduce an aspect of human intelligence in wireless sensor networks, influenced by cooperative networking, which enhances the timely delivery of critical data. Mutual aid among sensors (MAAS), is an emergency out-of-the-box medium access control (MAC) function for IEEE 802.15.4-2020. Specifically, the network coordinator detects critical data packets and sets an emergency flag to its next beacon, to inform the nodes that they may overhear data packets. When a node overhears a critical data packet from a neighboring node it switches to sleep mode and stays idle until the end of the superframe. Thus, interference is mitigated locally and temporarily. Simulation results, using the CC2650 radio parameters in OMNeT++, show that interference is reduced significantly, in favor of the timely delivery of critical data packets.

scholarly journals Power-Saving Design of Radio Frequency Identification Sensor Networks in Bus Seatbelt Monitoring Systems

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5882
Author(s):  
Sitong Sun ◽  
Wen Yang ◽  
Wilson Wang
Keyword(s):  
Sensor Networks ◽  
Low Power ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Power Saving ◽  
Low Power Design ◽  
Sensor Nodes ◽  
Design Approach ◽  
Registration Method ◽  
Frequency Identification

Seatbelt state monitoring is important in intercity buses for passenger safety. This paper discusses the issues and challenges in power-saving design of radio frequency identification (RFID) sensor networks in bus seatbelt monitoring. A new design approach is proposed in this work for low-power layout and parameter setting in RFID sensor nodes in hardware and software design. A one-to-many pairing registration method is suggested between the concentrator and the seat nodes. Unlike using extra computer software to write seat identification (ID) into an integrated circuit (IC) card, the node ID in this project can be stored into the concentrator directly, which can reduce intermediate operations and reduce development costs. The effectiveness of the proposed low-power design approach is verified by some experimental tests.

MONet

2017 ◽  
Vol 13 (4) ◽  
pp. 345-369
Author(s):  
Kamel Barka ◽  
Azeddine Bilami ◽  
Samir Gourdache
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Power Efficiency ◽  
Sensor Nodes ◽  
Sensor Data ◽  
Wireless Sensor ◽  
Multi Objective Optimization ◽  
Content Type ◽  
Multi Objective ◽  
Trade Offs

Purpose The purpose of this paper is to ensure power efficiency in wireless sensor networks (WSNs) through a new framework-oriented middleware, based on a biologically inspired mechanism that uses an evolutionary multi-objective optimization algorithm. The authors call this middleware framework multi-objective optimization for wireless sensor networks (MONet). Design/methodology/approach In MONet, the middleware level of each network node autonomously adjusts its routing parameters according to dynamic network conditions and seeks optimal trade-offs among performance objectives for a balance of its global performance. MONet controls the cooperation between agents (network nodes) while varying transmission paths to reduce and distribute power consumption equitably on all the sensor nodes of network. MONet-runtime uses a modified TinyDDS middleware platform. Findings Simulation results confirm that MONet allows power efficiency to WSN nodes while adapting their sleep periods and self-heal false-positive sensor data. Originality/value The framework implementation is lightweight and efficient enough to run on resource-limited nodes such as sensor nodes.

scholarly journals An Adaptive Lossless Data Compression Scheme for Wireless Sensor Networks

2012 ◽  
Vol 2012 ◽  
pp. 1-20 ◽  
Author(s):  
Jonathan Gana Kolo ◽  
S. Anandan Shanmugam ◽  
David Wee Gin Lim ◽  
Li-Minn Ang ◽  
Kah Phooi Seng
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Compression ◽  
Power Saving ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Sensor Node ◽  
Compression Scheme ◽  
Major Power ◽  
Lossless Data Compression

Energy is an important consideration in the design and deployment of wireless sensor networks (WSNs) since sensor nodes are typically powered by batteries with limited capacity. Since the communication unit on a wireless sensor node is the major power consumer, data compression is one of possible techniques that can help reduce the amount of data exchanged between wireless sensor nodes resulting in power saving. However, wireless sensor networks possess significant limitations in communication, processing, storage, bandwidth, and power. Thus, any data compression scheme proposed for WSNs must be lightweight. In this paper, we present an adaptive lossless data compression (ALDC) algorithm for wireless sensor networks. Our proposed ALDC scheme performs compression losslessly using multiple code options. Adaptive compression schemes allow compression to dynamically adjust to a changing source. The data sequence to be compressed is partitioned into blocks, and the optimal compression scheme is applied for each block. Using various real-world sensor datasets we demonstrate the merits of our proposed compression algorithm in comparison with other recently proposed lossless compression algorithms for WSNs.

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