A Survey of Data-Centric Protocols for Wireless Sensor Networks (original) (raw)
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Data Centric Based Routing Protocols for Wireless Sensor Networks: A Survey
Abstract- Sensor networks are quite different from traditional networks in different ways: sensor networks have severe energy concerns, redundant low-rate data, and many-to-one flows. Routing protocols developed for other adhoc networks cannot be applied directly in WSN because of the energy constraint of the sensor nodes. Data-centric technologies are needed to perform in-network aggregation of data to yield energy-efficient dissemination. Sensor networks are used in many applications like environment monitoring, health, industrial control units, military applications and in the various computing environments. Since sensor the entire sensor node are battery powered devices, energy consumption of nodes during transmission or reception of packets affects the life-time of the entire network. In this paper we model data-centric routing and compare its performance with traditional end-to-end routing schemes.
2013
A WSN is a specialized wireless network made up of a large number of sensors and at least one base station. Sensor Network are emerging as a new tool for important application in diverse fields like military surveillance, habitat monitoring, weather, home electrical appliances and others. Technically, sensor network nodes are limited in respect to energy supply, computational capacity and communication bandwidth. In order to prolong the lifetime of the sensor nodes, designing efficient routing protocol is very critical. Here, we illustrate the existing routing protocol for wireless sensor network in data centric approach. In this review article, we discuss the architecture of wireless sensor networks. Further, we categorize the routing protocols according to some key factors and summarize their mode of operation. Finally, we provide a evaluation of energy consumption graph of SPIN and comparative study on these two main protocols.
Comparison and Analysis Data-Centric Routing Protocols in Wireless Sensor Networks
2013 International Conference on Communication Systems and Network Technologies, 2013
Comparing protocols is one of the issues that had recently evaluated and its results significantly impact on choosing appropriate protocol. In this paper, wireless sensor networks will be presented and rout date-Centric protocol including Directed Diffusion, SPIN, Flooding, GBR and EAR will be evaluated and compared with each other. According to obtained results, it will be concluded that, considering that limited amount of energy of sensors in wireless sensor networks are the main limitation for planning protocol, and because EAR and GBR are better choices in the case of security, lifetime, consuming energy, then using these protocols for directing in wireless sensor networks will be advocated.
Ubiquitous Data-Centric Sensor Networks
International Journal of Distributed Sensor Networks, 2014
Ubiquitous data-centric sensor networks (U-DCSN) are a new integrated science and technology, which focus on data instead of individual sensor nodes. The network, as a dynamic database system, can accurately acquire data, perform highperformance processing of big data, and effectively access data from different users/actuators. Due this characteristic, U-DCSN hold huge potentials on service improvement in a wide range of applications and have attracted significant attention in recent years, for example, mobile cloud and consumer electronics. The modern mobile cloud, comprised of mobile devices (smart phones, tablets, and embedded sensor nodes), provides unlimited information resources, putting "cloud into a pocket. " To satisfy a wide spectrum of composite applications, the dynamic network structure with heterogeneous wireless terminals requires the mobile cloud to have efficient and high fault-tolerant data transmitting and processing capability.
A Review on Data Centric Routing for Wireless sensor Network
Sensor networks are quite different from traditional networks in different ways: sensor networks have severe energy concerns, redundant low-rate data, and many-to-one flows. Routing protocols developed for other adhoc networks cannot be applied directly in WSN because of the energy constraint of the sensor nodes. Data-centric technologies are needed to perform innetwork aggregation of data to yield energy-efficient dissemination. Sensor networks are used in many applications like environment monitoring, health, industrial control units, military applications and in the various computing environments. Since sensor the entire sensor node are battery powered devices, energy consumption of nodes during transmission or reception of packets affects the lifetime of the entire network. In this paper we model data-centric routing and compare its performance with traditional end-to-end routing schemes.
DCTP Architecture for Data-Centric Applications of Wireless Sensor Networks
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
Implementing reliable end-to-end transmission and reduced congestion in a single transport layer protocol is a critical issue for wireless sensor networks (WSNs). These issues degrade the performance of the WSN; since the devices used to configure the networks are resource-constrained ones. If the protocol manages without any one of the above-said problems which will not be a complete solution for transport layer issues in WSN. Some of the data-centric applications of WSNs need the reliable transmission of data packets with reduced congestion. To addresses the same, this paper proposed the data-centric transport layer protocol (DCTP). It effectively addresses problems like reliable delivery and congestion-free transmission. One of the major problems of WSNs is cluster head (CH) election and channel assignment to the members of CH. In this paper, the modified black widow optimization is used to select the CH which leads to reduced congestion and balanced energy utilization among the nodes. In a separate phase, the reliability of the event-to-sink transmission has also been addressed. Hence this proposed DCTP will be ultimately suitable for the data-centric applications of WSNs and ensures reliability and energy efficiency (i.e., 6.2315 mJ and 7.825 mJ) in the case of varying data rate and the number of nodes.
TECHNOLOGY A Survey on Data Processing Protocols in Wireless Sensor Network
2014
Wireless sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. Routing protocols in WSNs might differ depending on the application and network architecture. In this article a survey of state-of-the-art routing techniques in WSNs has presented. We first outline the design challenges for routing protocols in WSNs followed by a comprehensive survey of routing techniques. Overall, the routing techniques are classified into three categories based on the underlying network structure: flit, hierarchical, and location-based routing. Furthermore, these protocols can be classified into multipath-based, querybased, negotiation-based, QoS-based, and coherent based depending on the protocol operation. We study the design trade-offs between energy and communication overhead savings in ev...
Data-Centric Storage in Wireless Sensor Networks
2012
Distributed Data-Centric Storage is considered to be a promising and efficient approach for data storage and search mechanism. Since External Storage (ES) and Local Storage (LS) mechanisms often lead to high energy consumption, latency and creation of hotspot, DCS becomes preferable alternative approach for large scale wireless sensor networks (WSNs). Since 2002, many potential research works are conducted in this field focusing DCS routing, multi-replication, similarity search, range queries, multi-attribute event, non-uniformity of sensor network etc. In this chapter a comprehensive state-ofthe-art study is provided in which the prime focus of WSN DCS mechanism, design guidelines that inspired these methods, drawbacks and shortcomings of the existing solutions are thoroughly exposed.
A Survey on Data Processing Protocols in Wireless Sensor Network
Wireless sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. Routing protocols in WSNs might differ depending on the application and network architecture. In this article a survey of state-of-the-art routing techniques in WSNs has presented. We first outline the design challenges for routing protocols in WSNs followed by a comprehensive survey of routing techniques. Overall, the routing techniques are classified into three categories based on the underlying network structure:
Techniques and Challenges of Data Centric Storage Scheme in Wireless Sensor Network
Journal of Sensor and Actuator Networks, 2012
Storing, collecting and querying data across miniaturized battery powered Wireless Sensor Networks (WSN) is a key research focus today. Distributed Data-Centric Storage (DCS), an alternate to External Storage (ES) and Local Storage (LS), is thought to be a promising and efficient storage and search mechanism. There has been a growing interest in understanding and optimizing WSN DCS schemes in recent years, where the range query mechanism, similarity search, load balancing, multi-dimensional data search, as well as limited and constrained resources have driven this line of research. In this paper, an extensive state-of-the-art study is provided including the prime WSN DCS schemes, challenges that inspired these schemes, as well as drawbacks and shortcomings of existing solutions. In contrast to previous surveys that briefly discuss the contribution of a few WSN DCS mechanisms, we provide a thematic taxonomy in which schemes are classified according to the problems dealt with including range query, similarity search, data aggregation, sensor network field non-uniformity, multi-replication, load balancing and routing algorithm.