Mobility-based communication in wireless sensor networks

Challenge of efficient protocol design for energy constrained wireless sensor networks is addressed through application specific cross-layer designs. This design approach along with strong design assumptions limits application of protocols in universal scenarios and affects their practicality. With proliferation of embedded mobile sensors in consumer devices, a changed application paradigm requires generic protocols capable of managing greater device heterogeneousness and mobility. In this paper, we propose a novel lifetime maximization protocol for mobile sensor networks with uncontrolled mobility considering residual energy, traffic load, and mobility of a node. The protocol being generic is equally applicable to heterogeneous, homogenous, static, and mobile sensor networks. It can handle event driven as well as continuous traffic flow applications. Simulation results show that proposed scheme outperforms minimum hop routing and greedy forwarding in terms of network lifetime, data packet latency, and load balance while maintaining comparable throughput.

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“…Routing decisions are made based on hybrid routing factor given in (6). A node with the least is preferred as the next hop node.…”

Section: Operation Load Balanced Routing (Lbr)mentioning

confidence: 99%

“…In this work, the weights as in (6) are experimentally selected with an objective to increase overall network throughput. The results are taken over five high mobility network scenarios by varying application reporting rates.…”

Section: Performance With Different Weightsmentioning

confidence: 99%

Load Balanced Routing for Lifetime Maximization in Mobile Wireless Sensor Networks

Khalid

Masood

Hussain

et al. 2014

International Journal of Distributed Sensor Networks

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“…In fact, it has been shown [17], [18] that the integration of mobile entities into WSNs improves coverage, and hence, utility of the sensor network deployment. This enables more versatile sensing applications as well [1]. For example, Figure 2 illustrates a mobile sensor network that monitors wildfires.…”

Section: Advantages Of Adding Mobilitymentioning

confidence: 99%

A Survey on Localization for Mobile Wireless Sensor Networks

Amundson

Koutsoukos

2009

Lecture Notes in Computer Science

255

142

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Abstract. Over the past decade we have witnessed the evolution of wireless sensor networks, with advancements in hardware design, communication protocols, resource efficiency, and other aspects. Recently, there has been much focus on mobile sensor networks, and we have even seen the development of small-profile sensing devices that are able to control their own movement. Although it has been shown that mobility alleviates several issues relating to sensor network coverage and connectivity, many challenges remain. Among these, the need for position estimation is perhaps the most important. Not only is localization required to understand sensor data in a spatial context, but also for navigation, a key feature of mobile sensors. In this paper, we present a survey on localization methods for mobile wireless sensor networks. We provide taxonomies for mobile wireless sensors and localization, including common architectures, measurement techniques, and localization algorithms. We conclude with a description of real-world mobile sensor applications that require position estimation.

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“…It is shown that 'data mule' [8] approach can be used to efficiently collect the data by minimizing the data delivery latency with minimum energy consumption in a controlled mobile sensor network. A number of approaches exploiting mobility for data collection can be found in [9]. Adaptive Sampling and Prediction (ASAP) [10] is a real world application of MSN where a fleet of undersea mobile sensor nodes coordinate and collect measurements of ocean without human intervention.…”

Section: A Mobile Sensor Network (Msn) Researchmentioning

confidence: 99%

Mobility Metric based LEACH-Mobile Protocol

Kumar

Paul

Jacob

2008

2008 16th International Conference on Advanced Computing and Communications

120

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Abstract-Cluster based protocols like LEACH were found best suited for routing in wireless sensor networks. In mobility centric environments some improvements were suggested in the basic scheme. LEACH-Mobile is one such protocol. The basic LEACH protocol is improved in the mobile scenario by ensuring whether a sensor node is able to communicate with its cluster head. Since all the nodes, including cluster head is moving it will be better to elect a node as cluster head which is having less mobility related to its neighbours. In this paper, LEACH-Mobile protocol has been enhanced based on a mobility metric "remoteness" for cluster head election. This ensures high success rate in data transfer between the cluster head and the collector nodes even though nodes are moving. We have simulated and compared our LEACH-Mobile-Enhanced protocol with LEACHMobile. Results show that inclusion of neighbouring node information improves the routing protocol.

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Mobility-based communication in wireless sensor networks

Cited by 271 publications

References 7 publications

Load Balanced Routing for Lifetime Maximization in Mobile Wireless Sensor Networks

Load Balanced Routing for Lifetime Maximization in Mobile Wireless Sensor Networks

A Survey on Localization for Mobile Wireless Sensor Networks

Mobility Metric based LEACH-Mobile Protocol

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