An Energy-Efficient Routing and Self-Organization Algorithm in Wireless Sensor Networks

1IntroductionAs the development of MEMStechnology,the microsensors whichintegrate manyfunctions such as sensing,signal processing and communication have been widelyused[1]. Wireless Sensor Network ( WSN) is construct-ed with hundreds to thousands of sensors and one ormore SINKs .Sensors can sense (monitor) many physi-cal signals such as sound,light ,electronics ,tempera-ture and humidity of the objects in a given region[2 ~3].Sensors transfer these signalsinto sensing data and sendsensin…     

Indoor Radio Propagation and Interference in 2.4 GHz Wireless Sensor Networks: Measurements and Analysis

In wireless sensor networks (WSNs), the performance and lifetime are significantly affected by the indoor propagation and the interference from other technologies using the 2.4 GHz band. Next to an overview of the propagation and coexistence issues in the literature, we present a model for analysing these effects in WSNs. We also present our measurements results on the indoor propagation, the interference of the microwave oven (MWO) and their impact on the performance of the WSN. The propagation measurements reveal significant influence of the multipath: changing a node position with a few centimetres or changing the communication channel can lead up to 30 dB difference in the received power. The power leakage of MWO has been observed around $-$ 20 dBm at 1 m distances to the oven. This leads to extra retries of the 802.15.4 messages which matches our simulation results: the packet success ratio at first try decreases to 30–40 %, which increases the average active time of the sensor, closely located to the MWO. We observe that the ON–OFF pattern of the MWO could be exploited by WSNs to improve the performance.     

A Tracking-Based Target Locating Algorithm in Wireless Sensor Networks

1　IntroductionAwirelesssensornetworkisusuallycomposedofhundredsorthousandsofsensorsequippedwithcomputation ,sensingandcommunicationdevices,whicharecoordinatedinadistributedmodeinordertomonitoracertaingeographicalregionandcollectinformationontheirsurroundings[1 ] .Thecollecteddataisthenusedtoanswervariousqueries.RecentadvancesinMEMS ,wirelesscommunications,anddigitalelectronicshavemadepossiblethecheapandfastdeploymentofsensornetworks[2 ] .Suchadhoc,self organizingsensornetworksarereceivingin…     

Routing Protocol with Optimal Location of Aggregation Point in Wireless Sensor Networks

1IntroductionAdvances in the miniaturization of MicroElectronicand Mechanical Structures(MEMS)haveledto batterypowered sensor nodes that have sensing,communica-tion,and processing capabilities[1~4].Sensor networkshave emerged as an indispensable and i mpo…     

Is Localization of Wireless Sensor Networks in Irregular Fields a Challenge?

Wireless Personal Communications - Wireless sensor networks have been considered as an emerging technology for numerous applications of cyber-physical systems. These applications often require the...     

P-Zone： Connectivity-based Packet Path Tracing in Wireless Sensor Networks

In large-scale Wireless sensor networks （WSNs）, the network status is complex and unpredictable, which brings great challenges to practical network design and management. Tracing the route path of each data packet in the network is an important way to observe network behaviors and understand network dynamics. However, tracing the full route path of each packet could be highly challenging, due to the hard resource con- straint in WSNs. Our previous work proposes a hash-based path tracing mechanism, and leverages network connectivity and node locations to reduce the computational complexity. However, the node locations may be unavailable in some scenarios. In this work, we further propose a location-free enhancement to the hash-based path tracing mechanism, called P-Zone. P-Zone requires only network connectivity information to reduce the computational complexity. Theoretical analysis and practical simulations are conducted to evaluate the effectiveness and performance of our design. The results indicate that P-Zone can significantly reduce the computational complexity of the hashbased path tracing mechanism, while effectively tracing the full route path of each packet in the network in a real-time manner, and outperforms the state-of-the-art methods.     

Compatibility Issues of IPSec and TCP in Wireless Networks

1　Introduction　TransmissionControlProtocol (TCP)isthedefactotransportprotocolfortheglobalInternet.TCPusesbasicIPservicestoprovideapplicationswithanend to endconnection oriented packettransportmechanism ,whichensuresthereliableandordereddeliveryofdata .ButconventionalTCPschemesmaysufferfromaseveredegradationinperformanceinwirelessenvironmentbecauseofcertaincharacteris ticsofwirelessnetworks ,suchasnon congestionlosses[1 ] ,longdelays[2 ] ,anddynamicchangingtopology[3] .　ManyTCPperform…     

Distributed and Energy Efficient Self-Organization for On–Off Wireless Sensor Networks

In this paper, we utilize clustering to achieve energy efficiency for the on–off wireless sensor network, whose member nodes alternate between active and inactive states. In the proposed Distributed and Energy Efficient Self Organization (DEESO) scheme, the head election is adjusted adaptively to the remaining battery levels of local active nodes, which is a completely distributed approach compared to LEACH that relying on other routing schemes to access global information. Furthermore, we apply the Adaptive Channel Assignment (ACA) to address the on-off topology changes. Simulation results show that DEESO delivers 184% amount of data to the base station as LEACH for the same amount of energy consumption and the effective network lifetime is extended by around 50%.     

An Authenticated Identity-Based Key Establishment and Encryption Scheme for Wireless Sensor Networks

1Introduction Wirelesscommunicationhasbeenahotissuesince1990.includingAdhocandwirelesssensornetworks,etc.Especially,WirelessSensorNetwork(WSN).Whichhasreceivedconsiderableattentionduringlast decade[1-2].Ithasbeendevelopedforawidevarietyof applications,inc…     

TaraxOS： An Operation System for Wireless Sensor Networks

operation system （OS）, named TaraxOS for wireless sensor networks is proposed. The functions of the TaraxOS such as interrupt, memory management and scheduling mechanism are researched and implemented. After introducing the node＇s working flow, the performances of the TaraxOS are analyzed and some limitations of the scheduling mechanism are discussed. The obtained results show that the proposed TaraxOS has some desirable characteristics including small code capacity, low power consumption, quick response and robustness.     

An Energy-Aware Geographical Forwarding Protocol Utilizing Adaptive Sleeping in Wireless Sensor Networks

1IntroductionA wireless sensor network is the combination of thephysical world and information technology.Sensor net-works can contain hundreds of thousands of cheap sens-ing nodes that work in the formof Ad Hoc networks,monitoring the environment andrepo…     

Multi-constrained Max–Min Fair Resource Allocation in Multi-channel Wireless Sensor Networks

Wireless Personal Communications - Recent rich applications for the Internet of Things are demanding large bandwidth for communication which can cause congestion within multi-hop wireless sensor...     

Design of 100 μW Wireless Sensor Nodes for Biomedical Monitoring

Wireless sensor nodes span a wide range of applications. This paper focuses on the biomedical area, more specifically on healthcare monitoring applications. Power dissipation is the dominant design constraint in this domain. This paper shows the different steps to develop a digital signal processing architecture for a single channel electrocardiogram application, which is used as an application example. The target power consumption is 100 μW as that is the power energy scavengers can deliver. We follow a bottleneck-driven approach: first the algorithm is tuned to the target processor, then coarse grained clock-gating is applied, next the static as well as the dynamic dissipation of the digital processor is reduced by tuning the core to the target domain. The impact of each step is quantified. A solution of 11 μW is possible for both radio and DSP running the electrocardiogram algorithm.

Investigation of Architecture and Essential Technologies of Wireless Sensor Network

The Wireless Sensor Network (WSN) is a distributed Ad-hoc network that consists of numerous and ubiquitous mini sensor nodes with the capabilities of wireless communicating and computing. The WSN is an "intelligent" system that enables self-fulfillment of…     

Unequal Clustering Protocols for Wireless Sensor Networks—Taxonomy,Comparison and Simulation

Wireless Sensor Network (WSN) consists of randomly distributed sensor nodes which can collect, process, route and transmit data from their respective environment. Most of the research on WSN is oriented towards optimizing utilization of finite resources of Sensor Nodes to increase the overall network operative time. Recent literature on WSNs reveals that hierarchical routing unequal clustering methodologies are gaining popularity due to energy efficiency, load balancing and scalability. In literature, numerous surveys on clustering methodologies are available which address different equal clustering methods. The unequal clustering protocols, which have their own attributes viz. balance load distribution, hot spot mitigation and energy efficiency, are comparatively less explored. This motivated us to undertake the present study on the taxonomy, comparison and simulation analysis of different methodologies pertaining to less explored unequal clustering protocols. Our base metrics for comparison of different unequal clustering protocols are scalability, energy efficiency & load balancing capability of the resulting network. A comprehensive discussion has also been presented to highlight the various advantages and disadvantages of different unequal clustering protocols. Further, we have summarized the study of unequal clustering protocols in the tabular form.

     

TCP/IPsec Compatibility in Wireless Networks

In order to improve the performance of TCP (Transmission Control Protocol) in wireless environments, several enhancement mechanisms for TCP have been proposed and are now widely used, such as Snoop[1] and ELN-ACK[2] (Explicit Loss Notification with Acknowledgment). But these mechanisms conflict with IP Security Protocol (IPsec)[3]. If subscribers utilize IPsec to ensure the security o communication, these enhancement mechanisms cannot be implemented and the performance of TCP in wi…     

Notes on “A Temporal-Credential-Based Mutual Authentication and Key Agreement Scheme for Wireless Sensor Networks”

Xue et al. recently proposed an innovative mutual authentication and key agreement scheme for wireless sensor networks based on temporal credential using smart cards. However, in this paper we demonstrate that their scheme is vulnerable to password guessing attacks, node capture attacks and denial-of-service attacks. Furthermore we show that their scheme has some inconsistencies which make it less secure and more computationally costly than originally presented.     

Intelligence Framework Based Analysis of Spatial–Temporal Data with Compressive Sensing Using Wireless Sensor Networks

Wireless sensor networks produce immense sensor readings within a report interval to the sink. So transfer of information in a resource constrained wireless environment is difficult. Compressive sensing overcomes the resource constrains in wireless environment by exploiting sparsity in transfer with fewer measurement and recovery of original signal. In this research Intelligent Neighbor Aided Compressive Sensing (INACS) scheme is proposed for efficient data assembly in spatial and temporal correlated WSNs. Sparse Matrix has been formed with spatial and temporal coordinates for data transfer. In every sensing period, the sensor node just sends the readings within the sensing period to uniquely selected neighbour based on a correlation. The transmission period provides significant improvement with compressed data using INACS with the measurement matrix. Thus INACS provides reduction in number of transmission and higher reconstruction accuracy. INACS has been compared with Compressive wireless sensing for reduction in number of transmissions achieved. The time series analysis with INACS has been done to validate the simultaneous association between number of transmissions and time period.