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Journal ArticleDOI

Active Route-Guiding Protocols for Resisting Obstacles in Wireless Sensor Networks

TLDR
Novel algorithms that enable the existing location-based routing protocols that resist obstacles are proposed that create low overhead and significantly reduce the average route length, and, therefore, improve the energy consumption and end-to-end delay for a wireless sensor network with obstacles.
Abstract
In wireless sensor networks, a geographic region without the functionality of sensing and communication can generally be treated as an obstacle, which significantly impacts the performance of existing location-based routing. An obstacle can dynamically be formed due to unbalanced deployment, sensor failure, or power exhaustion, animus interference, or physical obstacles such as mountains or buildings. This paper proposes novel algorithms that enable the existing location-based routing protocols that resist obstacles. Applying the proposed active route-guiding protocol for single obstacles (S-RGP), border nodes that surround the obstacles will actively establish a forbidden region for concave obstacles and make the obstacle information transparent. Then, packets will be guided to overcome the obstacle and move along the shorter path from the encountered border node to the sink node. In addition, the proposed active route-guiding protocol for multiple obstacles (M-RGP) takes multiple obstacles into consideration and integrates their information to help the packets overcome multiple obstacles. Simulation results show that the proposed S-RGP and M-RGP create low overhead and significantly reduce the average route length, and, therefore, improve the energy consumption and end-to-end delay for a wireless sensor network with obstacles.

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Citations
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Coverage control for mobile sensing networks

TL;DR: This paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies which are adaptive, distributed, asynchronous, and verifiably correct.
Journal ArticleDOI

Void-Handling Techniques for Routing Protocols in Underwater Sensor Networks: Survey and Challenges

TL;DR: The state of the art of void-handling techniques proposed by underwater geographic greedy routing protocols, along with the recent advances, are reviewed and a qualitative comparison of these techniques is presented.
Journal ArticleDOI

Path Planning Algorithm for Mobile Anchor-Based Localization in Wireless Sensor Networks

TL;DR: A path planning scheme, which ensures that the trajectory of the mobile anchor node minimizes the localization error and guarantees that all of the sensor nodes can determine their locations, and a obstacle-resistant trajectory is proposed to handle the obstacles in the sensing field.
Journal ArticleDOI

Minimum-Cost Sensor Placement for Required Lifetime in Wireless Sensor-Target Surveillance Networks

TL;DR: This paper addresses a new problem in which the network cost is minimized while the resulting lifetime is at least equal to a given value L, and designs an efficient approximation algorithm for this problem.
Journal ArticleDOI

Review Article: Location-free boundary detection in mobile wireless sensor networks with a distributed approach

TL;DR: This study develops a distributed boundary detection (DBD) algorithm for identifying the boundaries of obstacles and networks and demonstrates that DBD can detect boundaries accurately in both static and mobile environments.
References
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Proceedings ArticleDOI

GPSR: greedy perimeter stateless routing for wireless networks

TL;DR: Greedy Perimeter Stateless Routing is presented, a novel routing protocol for wireless datagram networks that uses the positions of routers and a packet's destination to make packet forwarding decisions and its scalability on densely deployed wireless networks is demonstrated.
Journal Article

An Energy-Efficient MAC Protocol for Wireless Sensor Networks

TL;DR: S-MAC as discussed by the authors is a medium access control protocol designed for wireless sensor networks, which uses three novel techniques to reduce energy consumption and support self-configuration, including virtual clusters to auto-sync on sleep schedules.
Proceedings ArticleDOI

An energy-efficient MAC protocol for wireless sensor networks

TL;DR: S-MAC uses three novel techniques to reduce energy consumption and support self-configuration, and applies message passing to reduce contention latency for sensor-network applications that require store-and-forward processing as data move through the network.
Journal ArticleDOI

Coverage control for mobile sensing networks

TL;DR: In this paper, the authors describe decentralized control laws for the coordination of multiple vehicles performing spatially distributed tasks, which are based on a gradient descent scheme applied to a class of decentralized utility functions that encode optimal coverage and sensing policies.
Posted Content

Coverage control for mobile sensing networks

TL;DR: This paper proposes gradient descent algorithms for a class of utility functions which encode optimal coverage and sensing policies which are adaptive, distributed, asynchronous, and verifiably correct.
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