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Architecture and Routing Protocols for Smart Wireless Home Sensor Networks
Author(s) -
Yang Xu,
Shuai Wu,
Ruochen Tan,
Zheng Chen,
Min Zha,
Tina Tsou
Publication year - 2013
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2013/958061
Subject(s) - computer science , computer network , wireless sensor network , routing protocol , retransmission , dynamic source routing , static routing , node (physics) , link state routing protocol , routing (electronic design automation) , geographic routing , key distribution in wireless sensor networks , distributed computing , wireless , wireless network , telecommunications , structural engineering , network packet , engineering
As an important application domain of wireless sensor networks (WSN), wireless home sensor network (WHSN) can be built as a traditional WSN. However, when we consider its own character that plug-in sensors are fixed with AC power supply while mobile sensors are battery powered, traditional WSN techniques do not match well. In this paper, we propose a smart wireless home sensor network architecture with improved routing protocols. It is a hierarchical architecture in which AC-powered sensors act as backbone nodes for data retransmission, while battery-powered sensors act as leaves that only transmit data relevant to themselves. Each sensor is assigned with a prime number as its location identifier. For our routing algorithm, the LID is used as routing address and is decomposed to a sequence of prime numbers that indicates the route towards its destination. In addition, we improve existing routing algorithms such as SPIN, LEACH, and DD to incorporate traditional WSN routing algorithms into our smart WHSN architecture, and comparable efficiencies are made between them. Moreover, we propose a network path recovery algorithm for failures that are caused by node mobility or backbone node failures. All our algorithms have been provided with faithful simulations to verify the feasibility and efficiency. © 2013 Yang Xu et al.

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