SOA-EACR: Seagull optimization algorithm based energy aware cluster routing protocol for wireless sensor networks in the livestock industry

Author(s):  
Sankar S. ◽  
Ramasubbareddy Somula ◽  
Balakesavareddy Parvathala ◽  
Srinivas Kolli ◽  
Srilatha Pulipati ◽  
...  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Zhihao Peng ◽  
Mehdi Sajedi Jabloo ◽  
Yahya Dorostkar Navaei ◽  
Morteza Hosseini ◽  
Rozita Jamili Oskouei ◽  
...  

The energy of sensor nodes in wireless sensor networks is limited, which is one of the most important challenges due to the lack of a fixed power supply. Because data transmission consumes the most energy of nodes, a node that transmits more packets runs out of energy faster than the others. When the energy of a node comes to the end of a network, the process of network operation may be disrupted. In this case, critical information in the network with the desired quality may not reach the hole and eventually the base stations. Therefore, considering the dynamic topology and distributed nature of wireless sensor networks, designing energy-efficient routing protocols is the main challenge. In this paper, an energy-aware routing protocol based on a multiobjective particle swarm optimization algorithm is presented. In the proposed particle swarm optimization algorithm method, the proportionality function for selecting the optimal threaded node is set based on the goals related to service quality including residual energy, link quality, end-to-end delay, and delivery rate. The simulation results show that the proposed method consumes less energy and has a longer lifespan compared with the state-of-the-art methods due to balancing the goals related to service quality criteria.


Author(s):  
Fuseini Jibreel ◽  
Emmanuel Tuyishimire ◽  
I M Daabo

Wireless Sensor Networks (WSNs) continue to provide essential services for various applications such as surveillance, data gathering, and data transmission from the hazardous environments to safer destinations. This has been enhanced by the energy-efficient routing protocols that are mostly designed for such purposes. Gateway-based Energy-Aware Multi-hop Routing protocol (MGEAR) is one of the homogenous routing schemes that was recently designed to more efficiently reduce the energy consumption of distant nodes. However, it has been found that the protocol has a high energy consumption rate, lower stability period, less data transmission to the Base station (BS). In this paper, an enhanced Heterogeneous Gateway-based Energy-Aware multi-hop routing protocol ( HMGEAR) is proposed. The proposed routing scheme is based on the introduction of heterogeneous nodes in the existing scheme, selection of the head based on the residual energy, introduction of multi-hop communication strategy in all the regions of the network, and implementation of energy hole elimination technique. Results show that the proposed routing scheme outperforms two existing ones.


Wireless Sensor Networks (WSNs) are emerging network technology with innumerable applications. But security and energy constraints reduce its successful deployments. The nodes in network are greatly involved in transmissions and other processing operations for maintenance other than establishing or handling a call. Due to limited processing ability, storage capacity and most importantly the available battery power of the nodes, it is required to minimize the transmission power and the amount of data transmitted, for efficient operation. This paper presents a power aware routing protocol designed for wireless sensor networks. The proposed routing protocol is an extended and enhanced version of Dynamic Source Routing protocol. It adds energy awareness to the existing implementation of DSR protocol. Energy metric is considered during route selection process to choose an optimal path in terms of overall energy of the nodes along the path, and “low energy notification” method is used during route maintenance process to increase the lifetime of the bridge nodes to avoid network partitioning. The performance of DSR protocol and Energy Aware DSR (EADSR) protocol are compared through NS2 simulation under different scenarios. In all the cases, it is seen that EADSR protocol out-performs DSR protocol by energy saving in efficient manner


2017 ◽  
Vol 13 (7) ◽  
pp. 155014771771738 ◽  
Author(s):  
Min Wook Kang ◽  
Yun Won Chung

In delay-tolerant wireless sensor networks, messages for sensor data are delivered using opportunistic contacts between intermittently connected nodes. Since there is no stable end-to-end routing path like the Internet and mobile nodes operate on battery, an energy-efficient routing protocol is needed. In this article, we consider the probabilistic routing protocol using history of encounters and transitivity protocol as the base protocol. Then, we propose an energy-aware routing protocol in intermittently connected delay-tolerant wireless sensor networks, where messages are forwarded based on the node’s remaining battery, delivery predictability, and type of nodes. The performance of the proposed protocol is compared with that of probabilistic routing protocol using history of encounters and transitivity and probabilistic routing protocol using history of encounters and transitivity with periodic sleep in detail, from the aspects of delivery ratio, overhead ratio, delivery latency, and ratio of alive nodes. Simulation results show that the proposed protocol has better delivery probability, overhead ratio, and ratio of alive nodes, in most of the considered parameter settings, in spite of a small increase in delivery latency.


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