scholarly journals Efficient Energy Routing Protocol based on Energy & Buffer Residual Status (EBRS) for Wireless Sensor Networks

Wireless networks consist of nodes, having the ability that, they can sense and collect the information from the nearby surroundings. It has the responsibility of designed protocol to send this collected information by data gathering and forward it to the outside network via a sink node. Furthermore, WSNs doesn’t need any predetermined network structure; all the nodes used in WSN can operate as a router as well as the host. It uses multiple hops to send information to the node outside the communication range through different neighbor nodes. All the sensor nodes in WSN have their range of communication and can send and collect messages straight to each other until they were in the communication range. Moreover, the Self-organizing property of nodes in the network made WSN outstanding amongst the major applications. Nevertheless, the wireless nodes there in the network have a battery with restricted energy and can’t be recharge or change once deployed. Hence, the node energy must be utilized efficiently for various functions as sensing the information, processing the sensed information, and transmitting the processed information to another node. With the enhancements of the innovation and cost-effective hardware, our visualization presents a tremendous life enhancement of WSN into several new applications. To modify following such background, the energy-efficient routing protocol is extremely desirable and can be achieved by clustering in WSN. In the literature survey, various energy-efficient routing techniques based on cluster have been given to attain the energy-efficiency and enhance the lifetime of the network. However, these protocols were suffering from the bottleneck node issue. It is the situation in the network where the router node subjected to heavy traffic due to its presence in energy-efficient routing path or high remaining energy. This paper aims to moderate the possibility of the node to become a bottleneck node throughout the application. Thus, we attain the objective by design and develop the cluster-based efficient-routing protocol by selecting the head nodes of the cluster based on their residual energy and buffer status. Performance outcome shows that the projected work out-performs in contrast with present cluster-based routing protocols.

2022 ◽  
Vol 6 (1) ◽  
pp. 31-42
Author(s):  
Zainab Alansari ◽  
Mohammed Siddique ◽  
Mohammed Waleed Ashour

Wireless sensor networks (WSNs) are set of sensor nodes to monitor and detect transmitted data to the sink. WSNs face significant challenges in terms of node energy availability, which may impact network sustainability. As a result, developing protocols and algorithms that make the best use of limited resources, particularly energy resources, is critical issues for designing WSNs. Routing algorithms, for example, are unique algorithms as they have a direct and effective relationship with lifetime of network and energy. The available routing protocols employ single-hop data transmission to the sink and clustering per round. In this paper, a Fuzzy Clustering and Energy Efficient Routing Protocol (FCERP) that lower the WSNs energy consuming and increase the lifetime of network is proposed. FCERP introduces a new cluster-based fuzzy routing protocol capable of utilizing clustering and multiple hop routing features concurrently using a threshold limit. A novel aspect of this research is that it avoids clustering per round while considering using fixed threshold and adapts multi-hop routing by predicting the best intermediary node for clustering and the sink. Some Fuzzy factors such as residual energy, neighbors amount, and distance to sink considered when deciding which intermediary node to use.


2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Faris A. Almalki ◽  
Soufiene Ben Othman ◽  
Fahad A. Almalki ◽  
Hedi Sakli

Healthcare is one of the most promising domains for the application of Internet of Things- (IoT-) based technologies, where patients can use wearable or implanted medical sensors to measure medical parameters anywhere and anytime. The information collected by IoT devices can then be sent to the health care professionals, and physicians allow having a real-time access to patients’ data. However, besides limited batteries lifetime and computational power, there is spatio-temporal correlation, where unnecessary transmission of these redundant data has a significant impact on reducing energy consumption and reducing battery lifetime. Thus, this paper aims to propose a routing protocol to enhance energy-efficiency, which in turn prolongs the sensor lifetime. The proposed work is based on Energy Efficient Routing Protocol using Dual Prediction Model (EERP-DPM) for Healthcare using IoT, where Dual-Prediction Mechanism is used to reduce data transmission between sensor nodes and medical server if predictions match the readings or if the data are considered critical if it goes beyond the upper/lower limits of defined thresholds. The proposed system was developed and tested using MATLAB software and a hardware platform called “MySignals HW V2.” Both simulation and experimental results confirm that the proposed EERP-DPM protocol has been observed to be extremely successful compared to other existing routing protocols not only in terms of energy consumption and network lifetime but also in terms of guaranteeing reliability, throughput, and end-to-end delay.


Author(s):  
Fatima Al-Shihri ◽  
Mohammed Arafah

The authors proposed a Reliable and energy efficient Routing Protocol (RRP) for underwater sensor network, integrating the desired features of the Directional Flooding based Routing (DFR) and Vector Based Void Avoidance (VBVA) protocols. The new algorithm considers reliability and takes into consideration the residual energy for each node before choosing the forwarding node. RRP relies on a packet flooding technique to increase reliability. However, to prevent a packet from flooding to the whole network, they control the number of nodes forwarding a packet by measuring a link quality between nodes in a hop by hop. To mitigate the effect of the inherent void problem, the authors consider residual energy, link quality, and distance from destination node to choose a reliable path to forward packet to destination. The authors observe that RRP protocol has better performance in terms of the packet delivery ratio than the DFR protocol due to the void avoidance technique.


2013 ◽  
Vol 787 ◽  
pp. 1050-1055 ◽  
Author(s):  
Zhi Gui Lin ◽  
Hui Qi Zhang ◽  
Xu Yang Wang ◽  
Fang Qin Yao ◽  
Zhen Xing Chen

To the disadvantages, such as high energy consumption and the energy consumption imbalance, we proposed an energy-efficient routing protocol on mobile sink (MSEERP) in this paper. In the MSEERP, the network is divided into several square virtual grids based on GAF, each grid is called a cluster, and the cluster head election method of GAF is improved. In addition, the MSEERP introduces a mobile sink in the network, the sink radios in limited number of hops and uses control moving strategy, namely the sink does not collect the information until it moves to a cluster with highest residual energy. We applied NS2 to evaluate its performance and analyze the simulation results by the energy model. Simulation results show that the MSEERP balances the energy consumption of the network, saves nodes energy and extends the network lifetime.


2013 ◽  
Vol 579-580 ◽  
pp. 732-739
Author(s):  
Zhi Yan Ma ◽  
Guang You Yang ◽  
Jing Jing Zhou ◽  
Xiong Gan

An energy-efficient wireless sensor routing protocol (Energy-efficient clustering hierarchy routing protocol, EECH) for industrial field is proposed based on LEACH protocol according to the energy inefficiency of existing routing protocols and the characteristics of industrial field applications. The EECH protocol takes full advantages of the node clustering and time slot distribution in LEACH and implements the functions such as clustering, multi hop time slot distribution, node sleeping and data gathering. The cluster heads can be evenly distributed in the area with the geography location information of the wireless nodes, so that the optimal data gathering path can be established. Meanwhile, the EECH protocol can reduce the conflict in data receiving/transmitting and the energy consumption of the nodes, and extend the network lifetime through the multi hop time slot distribution and node sleep mechanism. The simulation results have shown that the death time of the first node in EECH protocol is extended double time than that of LEACH protocol. When most of the nodes dies, the amount of received data of the base station node is more than twice as much as the LEACH protocol, which has verified the energy efficiency characteristic of the EECH protocol.


Author(s):  
Mukhtiar Ahmed ◽  
Mazleena Salleh ◽  
M. Ibrahim Channa ◽  
Mohd Foad Rohani

Underwater Wireless Sensor Networks (UWSNs) is interesting area for researchers.To extract the information from seabed to water surface the the majority numbers of routing protocols has been introduced. The design of routing protocols faces many challenges like deployment of sensor nodes, controlling of node mobility, development of efficient route for data forwarding, prolong the battery power of the sensor nodes, and removal of void nodes from active data forwarding paths. This research article focuses the design of the Reliable Multipath Energy Efficient Routing (RMEER) which develops the efficient route between sensor nodes, and prolongs the battery life of the nodes. RMEER is a scalable and robust protocol which utilizes the powerful fixed courier nodes in order to enhance the network throughput, data delivery ratio, network lifetime and reduces the end-to-end delay. RMEER is also an energy efficient routing protocol for saving the energy level of the nodes. We have used the NS2.30 simulator with AquaSim package for performance analysis of RMEER.We observed that the simulation performance of RMEER is better than D-DBR protocol.


Author(s):  
Tanya Pathak ◽  
Vinay Kumar Singh ◽  
Anurag Sharma

In the recent years, an efficient design of a Wireless Sensor Network has become important in the area of research. The major challenges in the design of Wireless Sensor Network is to improve the network lifetime. The main difficulty for sensor node is to survive in that monitoring area for the longer time that means there is a need to increase the lifetime of the sensor nodes by optimizing the energy and distance. There are various existing routing protocols in which optimal routing can be achieved like Data-Centric, Hierarchical and Location-based routing protocols. In this paper, new power efficient routing protocol is being proposed that not only select the shortest path between the source node and sink node for data transmission but also maximizes the lifetime of the participating nodes by selecting the best path for sending the data packet across the network. The main objective of this research is to develop a faster algorithm to find the energy efficient route for Wireless Sensor Network. Simulation results shows that this strategy achieves long network lifetime when compared to the other standard protocols.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqil Somauroo ◽  
Vandana Bassoo

Due to its boundless potential applications, Wireless Sensor Networks have been subject to much research in the last two decades. WSNs are often deployed in remote environments making replacement of batteries not feasible. Low energy consumption being of prime requisite led to the development of energy-efficient routing protocols. The proposed routing algorithms seek to prolong the lifetime of sensor nodes in the relatively unexplored area of 3D WSNs. The schemes use chain-based routing technique PEGASIS as basis and employ genetic algorithm to build the chain instead of the greedy algorithm. Proposed schemes will incorporate an energy and distance aware CH selection technique to improve load balancing. Clustering of the network is also implemented to reduce number of nodes in a chain and hence reduce delay. Simulation of our proposed protocols is carried out for homogeneous networks considering separately cases for a static base-station inside and outside the network. Results indicate considerable improvement in lifetime over PEGASIS of 817% and 420% for base station inside and outside the network respectively. Residual energy and delay performance are also considered.


2019 ◽  
Vol 20 (4) ◽  
pp. 641-651
Author(s):  
Salem Sati ◽  
Ahmed Sohoud ◽  
Tareg Abulifa

Mobile Social Sensing Network (MSSN) is a subclass of Wireless Sensor Networks (WSN). This MSSN is consists of mobile sensing transducers carried by people. Sensing information gathered by mobile sensors will transmit to the data sink. This data sink may it is fixed or mobile. But in optimal cases, it should have efficient energy and position compared with other mobile sensors. On the other hand, mobile sensors may have a social tie because they carried by people. Traditional MANET routing protocols such as AODV and DSR are inapplicable or perform poorly for mobile social data sensing. Especially for distributed mobile social sensing. Insufficient performance due to the nature of the mobile sensors which suffering from a limited energy source. In recent days, there are many routing protocols proposed by researchers. These protocols improve the total delivered messagesin mobile social sensing networks, but most of them do not take into account the link bandwidth and node storage limitation, thus routing may lead to more energy consumption among mobile sensing nodes. In this paper, we design an Energy-Efficient Routing Protocol (EERP) for mobile social sensing networks. We consider the node energy as a balance function between the delay of collected data and transmission of sensor nodes to the data sink. Furthermore, we also develop an enhanced version of the suggested EERP which named EERP+S, EERP+S combines the energy percentage and social metric of node degree. EERP and its updated version EERP+S are dynamically adjusting the control function based on data delay and transmission in addition to node activity. Simulation results demonstrate the efficiency of EERP and EERP+S compared with the flooding behavior of an Epidemic. Epidemic and its social version Ep-Soc are compared with suggested protocols in distributed mobile social sensing paradigms.


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