It will show the feasibility of a Wireless Sensor Network (WSN) devoted to monitoring water basin, river, lake, and sea both on the surface and in depth. The swarm of floating probes can be programmed to periodically sink some tens of meters below the surface, collecting data, characterizing water properties and then coming to the surface again. The life span of the probes may be assured by an on-board power supply or through batteries recharged by solar cells. The basic idea of the WSN is reported together with a detailed analysis of the operational constraints, the energy requirements, and the electronic and mechanical discussion.
{"title":"Concept for Floating and Submersible Wireless Sensor Network for Water Basin Monitoring","authors":"M. Allegretti","doi":"10.4236/WSN.2014.66011","DOIUrl":"https://doi.org/10.4236/WSN.2014.66011","url":null,"abstract":"It will show the feasibility of a Wireless Sensor Network (WSN) devoted to monitoring water basin, river, lake, and sea both on the surface and in depth. The swarm of floating probes can be programmed to periodically sink some tens of meters below the surface, collecting data, characterizing water properties and then coming to the surface again. The life span of the probes may be assured by an on-board power supply or through batteries recharged by solar cells. The basic idea of the WSN is reported together with a detailed analysis of the operational constraints, the energy requirements, and the electronic and mechanical discussion.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mark Onsy, Ramy Salah, Michael Makar, Ghada Badawi, A. Kenawy, Hassan H. Halawa, T. Refaat, R. Daoud, H. Amer, H. Elsayed, Magdy El Soudani
This paper proposes a methodology for calculating the energy consumed by a Wireless Sensor Network as well as its throughput under the effect of a jamming node modelling interference to account for collisions and retransmissions. Accordingly, the proposed methodology takes into consideration retransmissions and data dropped due to interference and collisions simultaneously. Simulations are conducted using OPNET to model various scenarios utilizing off-the-shelf wireless communication standards, namely ZigBee, Wi-Fi and Low Power Wi-Fi. A figure of merit is developed to offer more representative results for applications with different requirements. In achieving different requirements for a given application, there is a clear trade-off between energy consumption and throughput.
{"title":"Performance of WSNs under the Effect of Collisions and Interference","authors":"Mark Onsy, Ramy Salah, Michael Makar, Ghada Badawi, A. Kenawy, Hassan H. Halawa, T. Refaat, R. Daoud, H. Amer, H. Elsayed, Magdy El Soudani","doi":"10.4236/WSN.2014.66010","DOIUrl":"https://doi.org/10.4236/WSN.2014.66010","url":null,"abstract":"This paper proposes a methodology for calculating the energy consumed by a Wireless Sensor Network as well as its throughput under the effect of a jamming node modelling interference to account for collisions and retransmissions. Accordingly, the proposed methodology takes into consideration retransmissions and data dropped due to interference and collisions simultaneously. Simulations are conducted using OPNET to model various scenarios utilizing off-the-shelf wireless communication standards, namely ZigBee, Wi-Fi and Low Power Wi-Fi. A figure of merit is developed to offer more representative results for applications with different requirements. In achieving different requirements for a given application, there is a clear trade-off between energy consumption and throughput.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdullah Al-Hasanat, K. Matrouk, Haitham A. Alasha'ary, Z. Alqadi
The design of an effective and robust data gathering algorithm is crucial to the overall performance of wireless sensor networks (WSN). However, using traditional routing algorithms for data gathering is energy-inefficient for sensor nodes with limited power resources and multi-hop communication protocols. Data gathering with mobile sinks provided an effective solution to this problem. The major drawback of this approach is the time and path constraints of the mobile sink, which limit the mobile sink to collect data from all sensor nodes and, then, data routing is still required for these unreachable parts by the mobile sink. This paper presents a new data gathering algorithm called Connectivity-Based Data Collection (CBDC). The CBDC algorithm utilizes the connectivity between sensor nodes so as to determine the trajectory of the mobile sink whilst satisfying its path constraint and minimizing the number of multi-hop communications. The presented results show that CBDC, in comparison with the LEACH-C algorithm, prolongs the network life time at different connectivity levels of sensor networks, varying number of sensor nodes and at different path constraints of the mobile sink.
{"title":"Connectivity-Based Data Gathering with Path-Constrained Mobile Sink in Wireless Sensor Networks","authors":"Abdullah Al-Hasanat, K. Matrouk, Haitham A. Alasha'ary, Z. Alqadi","doi":"10.4236/WSN.2014.66013","DOIUrl":"https://doi.org/10.4236/WSN.2014.66013","url":null,"abstract":"The design of an effective and robust data gathering algorithm is crucial to the overall performance of wireless sensor networks (WSN). However, using traditional routing algorithms for data gathering is energy-inefficient for sensor nodes with limited power resources and multi-hop communication protocols. Data gathering with mobile sinks provided an effective solution to this problem. The major drawback of this approach is the time and path constraints of the mobile sink, which limit the mobile sink to collect data from all sensor nodes and, then, data routing is still required for these unreachable parts by the mobile sink. This paper presents a new data gathering algorithm called Connectivity-Based Data Collection (CBDC). The CBDC algorithm utilizes the connectivity between sensor nodes so as to determine the trajectory of the mobile sink whilst satisfying its path constraint and minimizing the number of multi-hop communications. The presented results show that CBDC, in comparison with the LEACH-C algorithm, prolongs the network life time at different connectivity levels of sensor networks, varying number of sensor nodes and at different path constraints of the mobile sink.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70901061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mohammad Abdul Azim, Z. Aung, S. Moad, N. Bouabdallah, M. E. Rivero-Angeles, Israel Leyva-Mayorga
Continuous-monitoring (CM) of natural phenomenon is one of the major streams of applications in wireless sensor networks (WSNs), where aggregation and clustering techniques are beneficial as correlation dominates in both spatial and temporal aspects of sensed phenomenon. Conversely, in Event Driven Reporting (EDR), the efficient transmission of sensitive data related to some predefined alarm cases is of major importance. As such, reporting latency is a more important performance parameter. However, in some applications, the transmission of both CM and EDR data is encouraged or even required. For either CM or EDR applications, system performance can be greatly improved when both the number of packets to be transmitted as well as the packet size is reduced. This is especially true for highly dense sensor networks where many nodes detect the same values for the sensed phenomenon. Building on this, this paper focuses on studying and proposing compression techniques to improve the system performance in terms of energy consumption and reporting latency in both CM and EDR applications. Furthermore, we extend our analysis to hybrid networks where CM and EDR are required simultaneously. Specifically, this paper presents a simple aggregation technique named smart aggregation (SAG) for the CM applications and an event driven scheme named compression cluster scheme in spatial correlated region (CC_SCR). The proposed SAG exploits both spatial and temporal correlations where CC_SCR exploits the spatial correlation of such networks by data compression. Rationalizing the developments is attained by simulations that compare energy efficiency of the proposed SAG with k-hop aggregation and CM based event driven reporting (CMEDR) schemes. Results of CC_SCR show that the technique may reduce the energy consumption drastically. In some specific cases the reduction becomes more than 10 times compared to a classical clustering scheme. Two different strategies for the transmission of event reports through the CM infrastructure are incorporated: PER and NPER protocols. Both strategies take advantage of the cluster-based architecture which assigns a TDMA schedule for the CM data transmission while using NP/CSMA for the transmission of the event information. Consequently, no extra energy is consumed for separate event clusters. As such, the number of packets to be transmitted is greatly reduced.
{"title":"Energy-Efficient Methods for Highly Correlated Spatio-Temporal Environments in Wireless Sensor Network Communications","authors":"Mohammad Abdul Azim, Z. Aung, S. Moad, N. Bouabdallah, M. E. Rivero-Angeles, Israel Leyva-Mayorga","doi":"10.4236/WSN.2014.65009","DOIUrl":"https://doi.org/10.4236/WSN.2014.65009","url":null,"abstract":"Continuous-monitoring (CM) \u0000of natural phenomenon is one of the major streams of applications in wireless \u0000sensor networks (WSNs), where aggregation and clustering techniques are \u0000beneficial as correlation dominates in both spatial and temporal aspects of \u0000sensed phenomenon. Conversely, in Event Driven Reporting (EDR), the efficient \u0000transmission of sensitive data related to some predefined alarm cases is of \u0000major importance. As such, reporting latency is a more important performance \u0000parameter. However, in some applications, the transmission of both CM and EDR \u0000data is encouraged or even required. For either CM or EDR applications, system \u0000performance can be greatly improved when both the number of packets to be \u0000transmitted as well as the packet size is reduced. This is especially true for \u0000highly dense sensor networks where many nodes detect the same values for the \u0000sensed phenomenon. Building on this, this paper focuses on studying and \u0000proposing compression techniques to improve the system performance in terms of \u0000energy consumption and reporting latency in both CM and EDR applications. \u0000Furthermore, we extend our analysis to hybrid networks where CM and EDR are \u0000required simultaneously. Specifically, this paper presents a simple aggregation \u0000technique named smart aggregation (SAG) for the CM applications and an event \u0000driven scheme named compression cluster scheme in spatial correlated region \u0000(CC_SCR). The proposed SAG exploits both spatial and temporal correlations \u0000where CC_SCR exploits the spatial correlation of such networks by data \u0000compression. Rationalizing the developments is attained by simulations that \u0000compare energy efficiency of the proposed SAG with k-hop aggregation and CM based event driven reporting (CMEDR) \u0000schemes. Results of CC_SCR show that the technique may reduce the energy \u0000consumption drastically. In some specific cases the reduction becomes more \u0000than 10 times compared to a classical clustering scheme. Two different strategies \u0000for the transmission of event reports through the CM infrastructure are \u0000incorporated: PER and NPER protocols. Both strategies take advantage of the \u0000cluster-based architecture which assigns a TDMA schedule for the CM data \u0000transmission while using NP/CSMA for the transmission of the event information. \u0000Consequently, no extra energy is consumed for separate event clusters. As such, \u0000the number of packets to be transmitted is greatly reduced.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traditional protocols in wireless sensor networks follow the strict layering techniques which lead to the degradation in performance of the QoS (Quality of Service) parameters. Battery powered tiny sensor nodes with constraints of energy and guaranteed time require the efficient communication protocols with innovative and optimized approach to attain the objectives of WSN. Especially, these requirements become more stringent with the emergence of novel applications based on WSN. In order to find an optimized solution to this, cross layer-based approach which allows the cooperation, synchronization and communication among the layers, seems to be appropriate. In this paper, a realistic cross-layer protocol has been developed taking into considerations of MAC and Physical layer to further optimize the QoS parameters of already developed Energy Efficient Inter Cluster Coordination Protocol (EEICCP) at the Network layer level. In this paper we endeavor to concentrate on the enhancement of reliability parameter of QoS and results are validated through simulations done in MATLAB.
传统的无线传感器网络协议遵循严格的分层技术，导致服务质量参数的性能下降。电池供电的微型传感器节点具有能量约束和时间保证，需要高效的通信协议和创新的优化方法来实现无线传感器网络的目标。特别是，随着基于WSN的新型应用的出现，这些要求变得更加严格。为了找到一个优化的解决方案，基于跨层的方法允许各层之间的协作、同步和通信，似乎是合适的。本文在考虑MAC层和物理层的情况下，开发了一种现实的跨层协议，进一步优化已经开发的EEICCP (Energy Efficient Inter Cluster Coordination protocol)在网络层的QoS参数。本文主要研究了QoS可靠性参数的增强问题，并通过MATLAB仿真验证了结果。
{"title":"On the Development of Realistic Cross Layer Communication Protocol for Wireless Sensor Networks","authors":"Shalli Rani, J. Malhotra, R. Talwar","doi":"10.4236/WSN.2014.65008","DOIUrl":"https://doi.org/10.4236/WSN.2014.65008","url":null,"abstract":"Traditional protocols in \u0000wireless sensor networks follow the strict layering techniques which lead to \u0000the degradation in performance of the QoS (Quality of Service) parameters. \u0000Battery powered tiny sensor nodes with constraints of energy and guaranteed \u0000time require the efficient communication protocols with innovative and \u0000optimized approach to attain the objectives of WSN. Especially, these \u0000requirements become more stringent with the emergence of novel applications \u0000based on WSN. In order to find an optimized solution to this, cross layer-based \u0000approach which allows the cooperation, synchronization and communication among \u0000the layers, seems to be appropriate. In this paper, a realistic cross-layer \u0000protocol has been developed taking into considerations of MAC and Physical \u0000layer to further optimize the QoS parameters of already developed Energy Efficient \u0000Inter Cluster Coordination Protocol (EEICCP) at the Network layer level. In \u0000this paper we endeavor to concentrate on the enhancement of reliability \u0000parameter of QoS and results are validated through simulations done in MATLAB.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Energy efficient routing is one of the major thrust areas in Wireless Sensor Communication Networks (WSCNs) and it attracts most of the researchers by its valuable applications and various challenges. Wireless sensor networks contain several nodes in its terrain region. Reducing the energy consumption over the WSCN has its significance since the nodes are battery powered. Various research methodologies were proposed by researchers in this area. One of the bio-inspired computing paradigms named Cuckoo search algorithm is used in this research work for finding the energy efficient path and routing is performed. Several performance metrics are taken into account for determining the performance of the proposed routing protocol such as throughput, packet delivery ratio, energy consumption and delay. Simulation is performed using NS2 and the results shows that the proposed routing protocol is better in terms of average throughput, and average energy consumption.
{"title":"Enhanced Energy Efficient Multipath Routing Protocol for Wireless Sensor Communication Networks Using Cuckoo Search Algorithm","authors":"D. Raj, P. Sumathi","doi":"10.4236/WSN.2014.64007","DOIUrl":"https://doi.org/10.4236/WSN.2014.64007","url":null,"abstract":"Energy efficient routing is one of the major thrust areas in Wireless Sensor \u0000Communication Networks (WSCNs) and it attracts most of the researchers by its valuable \u0000applications and various challenges. Wireless sensor networks contain several nodes in its terrain region. \u0000Reducing the energy consumption over the WSCN has its significance since the \u0000nodes are battery powered. Various research methodologies were proposed by \u0000researchers in this area. One of the bio-inspired computing paradigms named \u0000Cuckoo search algorithm is used in this research work for finding the energy \u0000efficient path and routing is performed. Several performance metrics are taken \u0000into account for determining the performance of the proposed routing protocol \u0000such as throughput, packet delivery ratio, energy consumption and delay. \u0000Simulation is performed using NS2 and the results shows that the proposed \u0000routing protocol is better in terms of average throughput, and average energy \u0000consumption.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper aims to compare between OSPFv2 and OSPFv3, to explain the impact of the change in OSPFv3 packet format and the over load when OSPFv3 uses IPv6 packet instead of IPv4 packet format that was used by OSPFv2, and the comparison based on common OSPF packets that was sent in the same network.
{"title":"Comparison between OSPFv3 and OSPFv2","authors":"M. Mustafa","doi":"10.4236/WSN.2014.64006","DOIUrl":"https://doi.org/10.4236/WSN.2014.64006","url":null,"abstract":"This paper \u0000aims to compare between OSPFv2 and OSPFv3, to explain the impact of the change \u0000in OSPFv3 packet format and the over load when OSPFv3 uses IPv6 packet instead \u0000of IPv4 packet format that was used by OSPFv2, and the comparison based on \u0000common OSPF packets that was sent in the same network.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Since power of a wireless sensor node is limited, low power communication technology has been required. M-ary frequency shift keying (MFSK) modulation with orthogonal signals is one of the methods to decrease the power. However, if the amount of transmitted data including such as an identification number (ID) of a node and measured data is small, a ratio of the data length to the total packet length, which means transmission efficiency, becomes quite low. Because a preamble and error check codes are generally added to a packet for synchronization between a transmitter and a receiver and for decrease in reception errors, respectively. In this research, we have developed a method with digital filters which eliminates the other signals from time series frequency spectra not to use a preamble and error check codes. Although estimated synchronization loss of the method was less than 1.6 dB, it was found that the loss of the method on error packet rate was almost 0 dB at more than 0.001 of packet error rate by a simulation made by BASIC. These results indicate a possibility to realize that a packet which consists of only two symbols can be received with no error if the transmitted data is less than 14 bits using 128-FSK.
{"title":"M-ary FSK Modulation Using Short Packet without a Preamble and Error Detection Codes for Low Power Wireless Communication","authors":"H. Okada, T. Itoh","doi":"10.4236/WSN.2014.63005","DOIUrl":"https://doi.org/10.4236/WSN.2014.63005","url":null,"abstract":"Since power of a wireless sensor node is limited, low power \u0000communication technology has been required. M-ary frequency shift keying (MFSK) \u0000modulation with orthogonal signals is one of the methods to decrease the power. \u0000However, if the amount of transmitted data including such as an identification \u0000number (ID) of a node and measured data is small, a ratio of the data length to \u0000the total packet length, which means transmission efficiency, becomes quite \u0000low. Because a preamble and error check codes are generally added to a packet \u0000for synchronization between a transmitter and a receiver and for decrease in reception \u0000errors, respectively. In this research, we have developed a method with digital \u0000filters which eliminates the other signals from time series frequency spectra \u0000not to use a preamble and error check codes. Although estimated synchronization \u0000loss of the method was less than 1.6 dB, it was found that the loss of the \u0000method on error packet rate was almost 0 dB at more than 0.001 of packet error \u0000rate by a simulation made by BASIC. These results indicate a possibility to \u0000realize that a packet which consists of only two symbols can be received with \u0000no error if the transmitted data is less than 14 bits using 128-FSK.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The growing demand of usage of wireless sensors applications in different aspects makes the quality-of-service (QoS) to be one of paramount issues in wireless sensors applications. Quality of service guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the resources available of sensors and the various applications running over these networks have different constraints in their nature and requirements. Traditionally quality of service was focused on network level with concern in metrics such as delay, throughput, jitter e.c.t. In this paper we present appropriate metrics of QoS for WSN which involve service, reliability and availability which ultimately facilitating in archiving qualitable service. We discuss the reverse look of QoS and hence present mathematically the three significant quality factors that should currently be taken into account in developing WSNs application quality services namely, availability, reliability and serviceability. We run experiments incorporating these three phenomenons (reliability, availability and serviceability—RAS) to demonstrate how to attain QoS which effectively improve reliability of the overall WSNs.
{"title":"Quality of Service in Wireless Sensor Networks","authors":"Joseph E. Mbowe, G. Oreku","doi":"10.4236/WSN.2014.62003","DOIUrl":"https://doi.org/10.4236/WSN.2014.62003","url":null,"abstract":"The growing \u0000demand of usage of wireless sensors applications in different aspects makes the \u0000quality-of-service (QoS) to be one of paramount issues in wireless sensors \u0000applications. Quality of service guarantee in wireless sensor networks (WSNs) \u0000is difficult and more challenging due to the fact that the resources available \u0000of sensors and the various applications running over these networks have \u0000different constraints in their nature and requirements. Traditionally quality of service was focused on network \u0000level with concern in metrics such as delay, throughput, jitter e.c.t. In this \u0000paper we present appropriate metrics of QoS for WSN which involve service, reliability and availability which ultimately \u0000facilitating in archiving qualitable service. We discuss the reverse look of \u0000QoS and hence present mathematically the three significant quality factors that \u0000should currently be taken into account in developing WSNs application quality \u0000services namely, availability, reliability and serviceability. We run \u0000experiments incorporating these three phenomenons (reliability, availability and \u0000serviceability—RAS) to demonstrate how to attain QoS which effectively improve \u0000reliability of the overall WSNs.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Chaabane, A. Pegatoquet, M. Auguin, M. B. Jemaa
This paper presents an original approach to reduce energy consumption in an IEEE 802.15.4/ZigBee cluster tree network related to a backbone network. Our approach uses an enhanced mobility management of end devices combined with a rate adaptation algorithm. The mobility management approach anticipates link disruption and relies on a speculative algorithm that does not require scanning neighbor cells. The joint mobility management and rate adaptation methods are based on the link quality indicator (LQI). It is demonstrated that even in a noisy environment, the energy consumption as well as the latency of mobile devices can be significantly reduced.
{"title":"A Joint Mobility Management Approach and Data Rate Adaptation Algorithm for IEEE 802.15.4/ZigBee Nodes","authors":"C. Chaabane, A. Pegatoquet, M. Auguin, M. B. Jemaa","doi":"10.4236/WSN.2014.62004","DOIUrl":"https://doi.org/10.4236/WSN.2014.62004","url":null,"abstract":"This paper \u0000presents an original approach to reduce energy consumption in an IEEE \u0000802.15.4/ZigBee cluster tree network related to a backbone network. Our \u0000approach uses an enhanced mobility management of end devices combined with a \u0000rate adaptation algorithm. The mobility management approach anticipates link \u0000disruption and relies on a speculative algorithm that does not require scanning \u0000neighbor cells. The joint mobility management and \u0000rate adaptation methods are based on the link quality indicator (LQI). It is \u0000demonstrated that even in a noisy environment, the energy consumption as well as the latency of mobile \u0000devices can be significantly reduced.","PeriodicalId":58712,"journal":{"name":"无线传感网络(英文)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2014-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70900540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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