scholarly journals A Hierarchical QoS Routing Protocol for the Wireless Sensor Networks

2013 ◽  
Vol 347-350 ◽  
pp. 2018-2022
Author(s):  
Ze Sshun Zhou ◽  
Yi Xu ◽  
Min Qin ◽  
Chu Yang Mao ◽  
La Yuan Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Complexity Analysis ◽  
Minimum Energy ◽  
Qos Routing ◽  
Multicast Tree ◽  
Wireless Sensor ◽  
Minimum Energy Consumption ◽  
Message Overhead

The large wireless sensor networks are often structured hierarchically by grouping nodes into different domains in order to deal with the scaling problem. This paper proposes a new protocol called hierarchical QoS routing protocol (HQRP) that achieves scalability by organizing the network as a hierarchy of domains using the full-mesh aggregation technique. In HQRP, each local node just only needs to maintain local routing and summary information of other domains, but does not requires any global states maintained. The HQRP uses a Reverse Best Metric Path Forwarding approach with hierarchical, topological and QoS forwarding conditions to construct the multicast tree while minimizing message overhead and satisfying delay-bandwidth and minimum energy consumption. The paper presents proof of correctness and complexity analysis of the HQRP. Simulation results show very good performance in terms of success ratio and message overhead.

scholarly journals MQoSR: A Multiobjective QoS Routing Protocol for Wireless Sensor Networks

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Hind Alwan ◽  
Anjali Agarwal
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Routing Protocol ◽  
Data Transmission ◽  
Qos Routing ◽  
Wireless Sensor ◽  
Data Delivery

With the growing demand for quality-of-service (QoS) aware routing protocol in wireless networks, QoS-based routing has emerged as an interesting research topic. Quality of service guarantee in wireless sensor networks (WSNs) is difficult and more challenging due to the fact that the available resources of sensors and the various applications running over these networks have different constraints in their nature and requirements. In this paper, we present a heuristic neighbor selection mechanism in WSNs that uses the geographic routing mechanism combined with the QoS requirements to provide multiobjective QoS routing (MQoSR) for different application requirements. The problem of providing QoS routing is formulated as link, and path-based metrics. The link-based metrics are partitioned in terms of reliability, delay, distance to sink, and energy, and the path-based metrics are presented in terms of end-to-end delay, reliability of data transmission, and network lifetime. The simulation results demonstrate that MQoSR protocol is able to achieve the delay requirements, and due to optimum path selection process, the achieved data delivery ratio is always above the required one. MQoSR protocol outperforms the existing model in the literature remarkably in terms of reliable data transmission, time data delivery, and routing overhead and underlines the importance of energy-efficient solution to enhance network lifetime.

scholarly journals Routing Protocols for Energy Efficiency in WSNs: A review

2021 ◽  
pp. 29-33
Author(s):  
Dheyab Salman Ibrahim ◽  
Abd Ali Hussein ◽  
Fadhil Kadhem Zaidan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocols ◽  
Minimum Energy ◽  
Shortest Paths ◽  
Network Routing ◽  
Wireless Sensor ◽  
Maximum Lifespan ◽  
Data Routing ◽  
Minimum Energy Consumption

Wireless sensor networks (WSNs) is a significant part of networking area. They are cheap, efficient, and small, they are become more and more important for several applications. However, with the widespread use of applications that rely on wireless sensor networks, they continue to suffer from limitations such as data routing and security. WSNs can be used for several applications. Nodes of Sensor work on batteries. It is impossible to charge or replace the battery in some applications. For that purpose, optimal use of node’s energy is a key issue in the network. Routing is a significant challenge to extend the lifespan of network. Several protocols are implemented in WSNs. In this study, a survey on clustering techniques, present a characteristic and requirements routing design of WSNs. Result of this study shows how to solve some of these problems. WSN routing protocols have to ensure shortest paths, minimum energy consumption, less delay and maximum lifespan of network.

scholarly journals Maximizing Network Lifetime Operator for Wireless Sensor Networks

2013 ◽  
Vol 4 (2) ◽  
pp. 267-272
Author(s):  
Dr. Deepali Virmani
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Topology Control ◽  
Performance Metrics ◽  
Minimum Energy ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Minimum Energy Consumption

Optimizing and enhancing network lifetime with minimum energy consumption is the major challenge in field of wireless sensor networks. Existing techniques for optimizing network lifetime are based on exploiting node redundancy, adaptive radio transmission power and topology control. Topology control protocols have a significant impact on network lifetime, available energy and connectivity. In this paper we categorize sensor nodes as strong and weak nodes based on their residual energy as well as operational lifetime and propose a Maximizing Network lifetime Operator (MLTO) that defines cluster based topology control mechanism to enhance network lifetime while guarantying the minimum energy consumption and minimum delay. Extensive simulations in Java-Simulator (J-Sim) show that our proposed operator outperforms the existing protocols in terms of various performance metrics life network lifetime, average delay and minimizes energy utilization.

scholarly journals A Study on Existing Protocols and Energy-Balanced Routing Protocol for Data Gathering in Wireless Sensor Networks

2013 ◽  
Vol 11 (7) ◽  
pp. 2787-2791
Author(s):  
T. Lalitha ◽  
Jayanthila Devi ◽  
Dr.G.M. Kadh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Minimum Energy ◽  
Residual Energy ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Basic Algorithm ◽  
Energy Balanced Routing

Energy is an extremely critical resource for battery-powered wireless sensor networks (WSN), thus making energy-efficient protocol design a key challenging problem. Most of the existing energy-efficient routing protocols always forward packets along the minimum energy path to the sink to merely minimize energy consumption, which causes an unbalanced distribution of forming residue energy among sensor nodes, and eventually results in a network partition. In this paper, with the help of the concept of potential in physics, we design an Energy-Balanced Routing Protocol (EBRP) by constructing a mixed virtual potential field in terms of depth, energy density, and residual energy. The goal of this basic approach is to force packets to move toward the sink through the dense energy area to protect the nodes with relatively low residual energy. To address the routing loop problem emerging in this basic algorithm, enhanced mechanisms are proposed to detect and eliminate loops. The basic algorithm and loop elimination mechanism are first validated through extensive simulation experiments. 

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