Wireless sensor networks are expected to be an integral part of any pervasive computing environment. This implies an ever‐increasing need for efficient energy and resource management of both the sensor nodes, as well as the overall sensor network, in order to meet the expected quality of data and service requirements. There have been numerous studies that have looked at the routing of data in sensor networks with the sole intention of reducing communication power consumption. However, there has been comparatively little prior art in the area of multi‐criteria based routing that exploit both the semantics of queries and the state of sensor nodes to improve network service longevity. In this paper, we look at routing in sensor networks from this perspective and propose an adaptive multi‐criteria routing protocol. Our algorithm offers automated reconfiguration of the routing tree as demanded by variations in the network state to meet application service requirements. Our experimental results show that our approach consistently outperforms, in terms of Network Lifetime and Coverage, the leading semantic‐based routing algorithm which reconfigures the routing tree at fixed periods.
In the context of mobile data access, data caching is fundamental for both performance and functionality. For this reason there have been many studies into developing energy-efficient caching algorithms suitable for specific mobile environments. In this papers, we present a novel caching policy, Universal Mobile Caching (UMC), which is suitable for managing object caches in structurally varying environments, and which is self-optimizing for changing workloads. UMC is based on a simple set of basic criteria which reflect a spectrum of possible caching policies. UMC has demonstrated the ability to provide caching benefits in the on-demand retrieval of web documents for the mobile web, wherein multiple levels of intervening caches can create adverse workloads for other general caching schemes. When considering the energy expended in servicing cache misses, UMC consistently demonstrated savings on the order of 10% to 15%. These energy savings are solely due to local per-node behavior, and do not include the potential reduction of power consumption, to less than half its normal levels, achievable due its enabling more effective multi-hop data transmission.
A cache replacement policy is normally suited to a particular class of applications, or limited to a set of fixed criteria for evaluating the cache‐worthiness of an object. We present Universal Caching as a mechanism to capture the generality of the most adaptive algorithms, while depending on a very limited set of basic criteria for cache‐replacement decisions. Our testing was limited to Web workloads, where we tested the Universal Caching policy using real‐world traces from both the server‐side and client‐side proxies. Using a self‐tuning mechanism, combined with a generalization of the criteria employed in GD‐* Web caching, Universal Caching was able to consistently outperform any other fixed choice of algorithm we tested. Copyright © 2006 John Wiley & Sons, Ltd.
Interconnected computing nodes in pervasive systems demand efficient management to ensure longevity and effectiveness. This is particularly true when we consider wireless sensor networks, for which we propose a new scheme for adaptive route management. There have been numerous studies that have looked at the routing of data in sensor networks with the sole intention of reducing communication power. However there has been comparatively less prior art in the area of semantic and multi-criteria based routing. We look at routing in sensor networks from these perspectives and propose an adaptive multi-criteria routing protocol in the context of wireless sensor networks. Our experimental results show that our approach consistently outperforms the leading multi-criteria algorithm in its class that considers query semantics, in terms of Network Lifetime, Network Coverage and the Survivability of Critical Nodes.
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