Optimal backoff sleep time based protocol for prolonged network life with blacklisting of failure-prone nodes in wireless sensor networks

2016 ◽  
Author(s):  
Chaitanya Vijaykumar Mahamuni ◽  
K.T.V. Reddy ◽  
Nishan Patnaik
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sleep Time ◽  
Wireless Sensor

scholarly journals INDIGO: An In Situ Distributed Gossip Framework for Sensor Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-15 ◽  
Author(s):  
Paritosh Ramanan ◽  
Goutham Kamath ◽  
Wen-Zhan Song
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Distributed Algorithms ◽  
Sleep Time ◽  
Wireless Sensor ◽  
Consensus Problem ◽  
Design Development ◽  
Distributed Consensus ◽  
Gossip Algorithms

With the onset of Cyber-Physical Systems (CPS), distributed algorithms on Wireless Sensor Networks (WSNs) have been receiving renewed attention. The distributed consensus problem is a well studied problem having a myriad of applications which can be accomplished using asynchronous distributed gossip algorithms on Wireless Sensor Networks (WSNs). However, a practical realization of gossip algorithms for WSNs is found lacking in the current state of the art. In this paper, we propose the design, development, and analysis of a novel in situ distributed gossip framework called INDIGO. A key aspect of INDIGO is its ability to perform on a generic system platform as well as on a hardware oriented testbed platform in a seamless manner allowing easy portability of existing algorithms. We evaluate the performance of INDIGO with respect to the distributed consensus problem as well as the distributed optimization problem. We also present a data driven analysis of the effect certain operating parameters like sleep time and wait time have on the performance of the framework and empirically attempt to determine asweet spot. The results obtained from various experiments on INDIGO validate its efficacy, reliability, and robustness and demonstrate its utility as a framework for the evaluation and implementation of asynchronous distributed algorithms.

RE-MAC: A Reliable Energy Efficient MAC Protocol For Wireless Sensor Networks

2005 ◽  
Vol 4 (2) ◽  
pp. 509-517
Author(s):  
Santhosh Simon ◽  
K Paulose Jacob
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Data Transfer ◽  
Mac Protocol ◽  
Sleep Time ◽  
Wireless Sensor ◽  
Sleep State ◽  
Duty Cycling ◽  
Promising Area ◽  
Idle Listening

Wireless sensor networks are considered to be a promising area to equip scientists with the capability of developing real-time monitoring systems. This paper discusses the design and development of a wireless sensor network (WSN) that can be used for monitoring purposes in the agricultural fields. This battery-powered sensor node makes the network deployment easy but limit the lifetime of the network to the limited capacity of these batteries. The main source of energy wastage in modern sensor networks is idle listening and overhearing. Duty cycling is a proven mechanism to overcome the energy wastage through idle listening. In this paper we introduce a new MAC protocol named as REMAC that minimizes the idle listening by allowing nodes to remain in sleep state until it is necessary to wakeup. It also allows the participating nodes to wake up during the sleep time, perform the data transfer and return to sleep state thereby minimizing the chances for over hearing. We show the performance of REMAC through detailed simulations in NS-2 and also compare the performance evaluation with similar synchronous protocols that employ duty cycling. In the analysis REMAC proves to be saving much energy as compared to others.

scholarly journals Energy-Balanced Multisensory Scheduling for Target Tracking in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3585 ◽  
Author(s):  
Juan Feng ◽  
Hongwei Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Cluster Head ◽  
Sleep Time ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Sleep Scheduling ◽  
Scheduling Strategy ◽  
Multiple Sensors

One important way to extend the lifetime of wireless sensor networks (WSNs) is to manage the sleep scheduling of sensor nodes after they are deployed. Most of the existing works on node scheduling mainly concentrate on nodes which have only one sensor, and they regard a node and its sensor modules as a whole to manage sleep scheduling. Few works involve the sensed modules scheduling of the sensor nodes, which have multiple sensors. However, some of the sensed modules (such as video sensor) consume a lot of energy. Therefore, they have less energy efficiency for multisensory networks. In this paper, we propose a distributed and energy-balanced multisensory scheduling strategy (EBMS), which considers the scheduling of both the communication modules and the sensed modules for each node in target tracking WSNs. In EBMS, the network is organized as clustering structures. Each cluster head adaptively assigns a sleep time to its cluster members according to the position of the members. Energy-balanced multisensory scheduling strategy also proposes an energy balanced parameter to balance the energy consumption of each node in the network. In addition, multi-hop coordination scheme is proposed to find the optimal cooperation among clusters to maximize the energy conservation. Experimental results show that EBMS outperformed the state-of-the-art approaches.

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